Triple

T23419763
Position Surface form Disambiguated ID Type / Status
Subject InfoCision Stadium–Summa Field E560617 entity
Predicate homeTeamNickname P5076 FINISHED
Object Zips 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: Zips | Statement: [InfoCision Stadium–Summa Field, homeTeamNickname, Zips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zips
Context triple: [InfoCision Stadium–Summa Field, homeTeamNickname, Zips]
  • A. Zips chosen
    Zips is the nickname for the University of Akron's athletic teams, most prominently used for its NCAA Division I football program.
  • B. Zips
    Zips is a historical region in present-day Slovakia known for its significant Carpathian German (Zipser) community and medieval towns.
  • C. ZIP!
    ZIP! is a long-running Japanese morning television news and entertainment program broadcast on the NTV network.
  • D. Zip
    "Zip" is a witty, patter-style show tune from the Rodgers and Hart musical *Pal Joey*, known for its satirical take on intellectual pretension.
  • E. Zip2
    Zip2 was an early online city guide and business directory software company from the late 1990s that provided web-based publishing tools for newspapers.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54489d48190b2b2c29701851765 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:44 p.m.