Triple

T20917996
Position Surface form Disambiguated ID Type / Status
Subject Wa-Griz E515125 entity
Predicate hasPartOfName P5298 FINISHED
Object Griz 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: Griz | Statement: [Wa-Griz, hasPartOfName, Griz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griz
Context triple: [Wa-Griz, hasPartOfName, Griz]
  • A. Griz chosen
    Griz is the popular nickname for the University of Montana’s Montana Grizzlies football team, a prominent program in NCAA Division I FCS.
  • B. Grizz
    Grizz is the costumed Golden Grizzly bear mascot representing Oakland University's athletic teams and school spirit.
  • C. Grizzlys
    Grizzlys is a professional ice hockey team based in Wolfsburg, Germany, competing in the country’s top-tier league.
  • D. Huskies
    Huskies is the nickname for the University of Washington’s athletic teams, known especially for their prominent football program and strong presence in NCAA Division I sports.
  • E. Huskies
    Huskies is the nickname and mascot for Michigan Technological University’s men’s ice hockey team, representing the school in NCAA competition.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec647028819082031eb706a62ad5 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.