Triple
T5865760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USC Trojans football team |
E130387
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | USC |
E32839
|
NE FINISHED |
How this triple was built (2 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: USC | Statement: [USC Trojans football team, shortName, USC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USC Context triple: [USC Trojans football team, shortName, USC]
-
A.
USC
USC is a common abbreviation that, in this context, refers to the University of South Carolina and its Gamecocks athletic teams competing in NCAA Division I sports.
-
B.
USC
USC is a public university in Queensland, Australia, known for its modern campuses and focus on teaching quality and regional engagement.
-
C.
USC
USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
-
D.
USC
USC is a Japanese space launch and tracking facility operated by JAXA, known for supporting satellite launches and space science missions.
-
E.
University of Southern California
chosen
The University of Southern California is a major private research university in Los Angeles known for its strong academic programs, influential alumni network, and significant contributions to fields such as film, engineering, and business.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035bfa8188190ab0e28101fdf5e6f |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124f946348190ab6fa7c2c203924f |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 3:56 p.m.