Triple

T12002141
Position Surface form Disambiguated ID Type / Status
Subject 2016 NCAA Women’s Final Four E285689 entity
Predicate hostCity P1798 FINISHED
Object Indianapolis E58849 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: Indianapolis | Statement: [2016 NCAA Women’s Final Four, hostCity, Indianapolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indianapolis
Context triple: [2016 NCAA Women’s Final Four, hostCity, Indianapolis]
  • A. Indianapolis chosen
    Indianapolis is the capital and most populous city of the U.S. state of Indiana, known for its major sports franchises and hosting the annual Indianapolis 500 auto race.
  • B. Indy
    Indy is a recurring character in the animated children's series "Bluey," known as one of Bluey's imaginative and energetic dog friends.
  • C. Indy
    Indy is the adventurous archaeologist and whip-wielding hero at the center of the Indiana Jones film franchise.
  • D. Columbus, Indiana
    Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
  • E. Evansville
    Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6389ba08190b07fac8e90da0f5b completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:46 p.m.