Triple

T18031456
Position Surface form Disambiguated ID Type / Status
Subject B-Specials E431399 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: [B-Specials, shortName, USC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USC
Context triple: [B-Specials, shortName, USC]
  • A. USC
    USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
  • B. USC chosen
    The USC, or Ulster Special Constabulary, was a reserve police force in Northern Ireland that operated during much of the 20th century, primarily tasked with supporting security and maintaining order amid sectarian conflict.
  • C. 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.
  • D. USC
    USC is a public university in Queensland, Australia, known for its modern campuses and focus on teaching quality and regional engagement.
  • E. USC
    USC is a Japanese space launch and tracking facility operated by JAXA, known for supporting satellite launches and space science missions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be35a70081909d24d36506d18131 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.