Triple
T9652783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economic Development and Tourism Office (Texas Governor) |
E233375
|
entity |
| Predicate | offersProgram |
P178
|
FINISHED |
| Object |
Governor’s University Research Initiative
The Governor’s University Research Initiative is a Texas state program that provides major funding incentives to attract and support nationally recognized researchers at Texas universities, strengthening the state’s higher education and innovation ecosystem.
|
E811970
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Governor’s University Research Initiative | Statement: [Economic Development and Tourism Office (Texas Governor), offersProgram, Governor’s University Research Initiative]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Governor’s University Research Initiative Context triple: [Economic Development and Tourism Office (Texas Governor), offersProgram, Governor’s University Research Initiative]
-
A.
Multidisciplinary University Research Initiative
The Multidisciplinary University Research Initiative is a U.S. Department of Defense program that funds long-term, large-scale university research projects involving teams from multiple disciplines to address complex scientific and engineering challenges.
-
B.
Minerva Research Initiative
The Minerva Research Initiative is a U.S. Department of Defense program that funds social science research to deepen understanding of global political, social, and cultural dynamics relevant to national security.
-
C.
Center for Public Research and Leadership
The Center for Public Research and Leadership is an interdisciplinary initiative at Columbia University that trains students and professionals to improve public education systems and other public-sector institutions through research, consulting, and leadership development.
-
D.
Social Science Research Center
The Social Science Research Center is a multidisciplinary research institute affiliated with Mississippi State University that conducts applied and academic studies on social and behavioral issues.
-
E.
Center for the Study of the Administrative State
The Center for the Study of the Administrative State is a research and policy institute at the Antonin Scalia Law School focused on the structure, powers, and accountability of the modern administrative state.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Governor’s University Research Initiative Triple: [Economic Development and Tourism Office (Texas Governor), offersProgram, Governor’s University Research Initiative]
Generated description
The Governor’s University Research Initiative is a Texas state program that provides major funding incentives to attract and support nationally recognized researchers at Texas universities, strengthening the state’s higher education and innovation ecosystem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Governor’s University Research Initiative Target entity description: The Governor’s University Research Initiative is a Texas state program that provides major funding incentives to attract and support nationally recognized researchers at Texas universities, strengthening the state’s higher education and innovation ecosystem.
-
A.
Multidisciplinary University Research Initiative
The Multidisciplinary University Research Initiative is a U.S. Department of Defense program that funds long-term, large-scale university research projects involving teams from multiple disciplines to address complex scientific and engineering challenges.
-
B.
Minerva Research Initiative
The Minerva Research Initiative is a U.S. Department of Defense program that funds social science research to deepen understanding of global political, social, and cultural dynamics relevant to national security.
-
C.
Center for Public Research and Leadership
The Center for Public Research and Leadership is an interdisciplinary initiative at Columbia University that trains students and professionals to improve public education systems and other public-sector institutions through research, consulting, and leadership development.
-
D.
Social Science Research Center
The Social Science Research Center is a multidisciplinary research institute affiliated with Mississippi State University that conducts applied and academic studies on social and behavioral issues.
-
E.
Center for the Study of the Administrative State
The Center for the Study of the Administrative State is a research and policy institute at the Antonin Scalia Law School focused on the structure, powers, and accountability of the modern administrative state.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb26b748190bc32e2003829b0ec |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1826c91388190b82112c2ca1eae7e |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d1836d683081908bccf970e4b0980b |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18412c4a08190bce431235e1102fc |
completed | April 4, 2026, 9:35 p.m. |
Created at: March 30, 2026, 8:13 p.m.