Triple
T18946663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of the Cordilleras |
E463531
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
UC
UC is a private university in Baguio City, Philippines, known for its strong programs in law, criminology, and information technology.
|
E1351521
|
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: UC | Statement: [University of the Cordilleras, acronym, UC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UC Context triple: [University of the Cordilleras, acronym, UC]
-
A.
UC
UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
-
B.
UC
UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
-
C.
UC
UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
-
D.
UC
UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
-
E.
UC
UC is a public research university in Cincinnati, Ohio, known for its comprehensive academic programs and co-operative education opportunities.
- 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: UC Triple: [University of the Cordilleras, acronym, UC]
Generated description
UC is a private university in Baguio City, Philippines, known for its strong programs in law, criminology, and information technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UC Target entity description: UC is a private university in Baguio City, Philippines, known for its strong programs in law, criminology, and information technology.
-
A.
UC
UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
-
B.
UC
UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
-
C.
UC
UC is a public research university in Cincinnati, Ohio, known for its comprehensive academic programs and co-operative education opportunities.
-
D.
UC
UC is the commonly used abbreviation for University College, one of the constituent colleges of the University of Toronto.
-
E.
UC
UC is the station code for Union City BART station in the San Francisco Bay Area’s regional rapid transit system.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5402ad881908add559249278895 |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fcc18b48190b3cce80f996f0f16 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a42828bc819093b89d2007f246a9 |
completed | May 14, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a606d7ac819089c8db42bebb510e |
completed | May 14, 2026, 10:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.