Triple

T19269043
Position Surface form Disambiguated ID Type / Status
Subject Yellowjacket Union E481870 entity
Predicate name P16 FINISHED
Object Yellowjacket Union 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: Yellowjacket Union | Statement: [Yellowjacket Union, name, Yellowjacket Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yellowjacket Union
Context triple: [Yellowjacket Union, name, Yellowjacket Union]
  • A. Yellowjacket Union chosen
    Yellowjacket Union is the main student union building at the University of Wisconsin–Superior, serving as a central hub for student activities, services, and campus events.
  • B. Yellow Jackets
    The Yellow Jackets are the athletic teams representing the Georgia Institute of Technology in NCAA Division I sports.
  • C. Yellow Jackets
    Yellow Jackets is the mascot representing T. L. Hanna High School’s athletic teams and school spirit.
  • D. Yellow Jackets
    Yellow Jackets is the collective name for the varsity athletic teams representing American International College in intercollegiate sports.
  • E. Yellowjacket
    Yellowjacket is a superhero identity in Marvel Comics most notably adopted by scientist and founding Avenger Hank Pym, featuring size-changing abilities and advanced technology.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb68d0c819083ba0ce680dd7d99 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.