Triple
T20068803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Arts and Sciences, University of Pennsylvania |
E499678
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of History, University of Pennsylvania
The Department of History at the University of Pennsylvania is a leading academic unit renowned for its research and teaching across a wide range of historical periods, regions, and methodologies.
|
E1410516
|
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: Department of History, University of Pennsylvania | Statement: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of History, University of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of History, University of Pennsylvania Context triple: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of History, University of Pennsylvania]
-
A.
Department of History, Stanford University
The Department of History at Stanford University is a leading academic unit renowned for its research and teaching on global, American, and interdisciplinary historical studies.
-
B.
Department of History, University of Maryland
The Department of History at the University of Maryland is an academic unit that offers undergraduate and graduate programs focused on historical research, teaching, and scholarship across diverse periods and regions.
-
C.
Yale University Department of History
The Yale University Department of History is a leading academic department at Yale University renowned for its influential scholarship and teaching across a wide range of historical fields.
-
D.
Department of History, University of Iowa
The Department of History at the University of Iowa is an academic unit that offers undergraduate and graduate programs focused on historical research and education across diverse periods and regions.
-
E.
Department of History, University of California, Berkeley
The Department of History at the University of California, Berkeley is a leading academic department renowned for its influential scholarship and teaching across a wide range of historical fields and periods.
- 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: Department of History, University of Pennsylvania Triple: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of History, University of Pennsylvania]
Generated description
The Department of History at the University of Pennsylvania is a leading academic unit renowned for its research and teaching across a wide range of historical periods, regions, and methodologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of History, University of Pennsylvania Target entity description: The Department of History at the University of Pennsylvania is a leading academic unit renowned for its research and teaching across a wide range of historical periods, regions, and methodologies.
-
A.
Department of History, Stanford University
The Department of History at Stanford University is a leading academic unit renowned for its research and teaching on global, American, and interdisciplinary historical studies.
-
B.
Department of History, University of Maryland
The Department of History at the University of Maryland is an academic unit that offers undergraduate and graduate programs focused on historical research, teaching, and scholarship across diverse periods and regions.
-
C.
Yale University Department of History
The Yale University Department of History is a leading academic department at Yale University renowned for its influential scholarship and teaching across a wide range of historical fields.
-
D.
Department of History, University of Iowa
The Department of History at the University of Iowa is an academic unit that offers undergraduate and graduate programs focused on historical research and education across diverse periods and regions.
-
E.
Department of History, University of California, Berkeley
The Department of History at the University of California, Berkeley is a leading academic department renowned for its influential scholarship and teaching across a wide range of historical fields and periods.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3acb7881908e23b1d066c35051 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a081fbb7f208190a032f9f312fd07de |
completed | May 16, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08208c203c819083abea34d10d5e4e |
completed | May 16, 2026, 7:45 a.m. |
Created at: April 11, 2026, 3:39 p.m.