Triple

T1374079
Position Surface form Disambiguated ID Type / Status
Subject SeatGeek Stadium E30179 entity
Predicate tenant P75 FINISHED
Object Chicago Red Stars E93540 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: Chicago Red Stars | Statement: [SeatGeek Stadium, tenant, Chicago Red Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Red Stars
Context triple: [SeatGeek Stadium, tenant, Chicago Red Stars]
  • A. Chicago Red Stars chosen
    The Chicago Red Stars are a professional women's soccer team based in the Chicago area that competes in the National Women's Soccer League (NWSL).
  • B. Orlando Pride
    Orlando Pride is a professional National Women's Soccer League (NWSL) team based in Orlando, Florida.
  • C. Gotham FC
    Gotham FC is a professional women's soccer club based in the New York–New Jersey area that competes in the National Women's Soccer League.
  • D. Washington Spirit
    Washington Spirit is a professional women's soccer club based in the Washington, D.C. area that competes in the National Women's Soccer League.
  • E. Kansas City Current
    Kansas City Current is a professional women's soccer club competing in the National Women's Soccer League and based in Kansas City, Missouri.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f660888190bc9240e0dc4f0aa3 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c95b09881909e621ee55cdc7279 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:57 p.m.