Triple

T17615073
Position Surface form Disambiguated ID Type / Status
Subject USC E429061 entity
Predicate shortName P43 FINISHED
Object USC NE NERFINISHED

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, shortName, USC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USC
Context triple: [USC, 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. USC
    USC is the commonly used abbreviation for the United Somali Congress, a key political and militant organization in Somalia’s civil conflict history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.