Triple

T560630
Position Surface form Disambiguated ID Type / Status
Subject Minneapolis E13441 entity
Predicate hasProfessionalSportsTeam P330 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: [Minneapolis, hasProfessionalSportsTeam, Minnesota Lynx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota Lynx
Context triple: [Minneapolis, hasProfessionalSportsTeam, 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. Phoenix Mercury
    The Phoenix Mercury are a professional women's basketball team based in Phoenix, Arizona, competing in the WNBA and known for multiple championships and star players.
  • E. New York Liberty
    The New York Liberty is a professional women's basketball team based in New York City that competes in the WNBA.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e2795c8190903240e79964156d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9bd6c44819094ba815966ca7937 completed March 2, 2026, 1:37 a.m.
Created at: March 1, 2026, 7:32 p.m.