Triple

T8792166
Position Surface form Disambiguated ID Type / Status
Subject ULM E209191 entity
Predicate hasAthleticTeam P330 FINISHED
Object ULM Warhawks golf E212878 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: ULM Warhawks golf | Statement: [ULM, hasAthleticTeam, ULM Warhawks golf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ULM Warhawks golf
Context triple: [ULM, hasAthleticTeam, ULM Warhawks golf]
  • A. ULM
    ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
  • B. Warhawks
    Warhawks is the athletic nickname for the University of Wisconsin–Whitewater’s sports teams.
  • C. Warhawks chosen
    The Warhawks are the athletic teams representing the University of Louisiana at Monroe in NCAA collegiate sports.
  • D. Louisiana–Monroe Warhawks
    The Louisiana–Monroe Warhawks are the intercollegiate athletic teams representing the University of Louisiana at Monroe in NCAA Division I sports.
  • E. ULM School of Aviation
    ULM School of Aviation is the aviation education and training program of the University of Louisiana at Monroe, offering professional pilot and aviation-related degree pathways.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8f9eb08190bd709f3c8e09412f completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc921d3408190a2f823473bf9b4bc completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:43 p.m.