Triple

T3157437
Position Surface form Disambiguated ID Type / Status
Subject Chicago Sky E66017 entity
Predicate hasRivalryWith P893 FINISHED
Object Minnesota Lynx E29594 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: Minnesota Lynx | Statement: [Chicago Sky, hasRivalryWith, Minnesota Lynx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota Lynx
Context triple: [Chicago Sky, hasRivalryWith, Minnesota Lynx]
  • A. Minnesota Lynx chosen
    The Minnesota Lynx are a professional women's basketball team in the WNBA known for their multiple championships and dominant run in the 2010s.
  • B. Washington Mystics
    The Washington Mystics are a professional women's basketball team based in Washington, D.C., competing in the WNBA.
  • C. Dallas Wings
    The Dallas Wings are a professional women's basketball team in the WNBA based in the Dallas–Fort Worth area.
  • D. Seattle Storm
    The Seattle Storm is a professional women's basketball team competing in the WNBA and based in Seattle, Washington.
  • E. Los Angeles Sparks
    The Los Angeles Sparks are a professional women's basketball team based in Los Angeles that competes in the WNBA and is known as one of the league's most successful and storied franchises.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ec0da88190a83f3448ac76e98e completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b225068444819080e2b8b6b1260613 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.