Triple

T6803724
Position Surface form Disambiguated ID Type / Status
Subject IndyCar Grand Prix E156248 entity
Predicate city P40 FINISHED
Object Speedway, Indiana E156245 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: Speedway, Indiana | Statement: [IndyCar Grand Prix, city, Speedway, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speedway, Indiana
Context triple: [IndyCar Grand Prix, city, Speedway, Indiana]
  • A. Speedway, Indiana chosen
    Speedway, Indiana is a small town in Marion County best known as the home of the Indianapolis Motor Speedway and the iconic Indianapolis 500 auto race.
  • B. Martinsville, Indiana
    Martinsville, Indiana is a small city in central Indiana known historically for its mineral water sanitariums and as the county seat of Morgan County.
  • C. Shelby, Indiana
    Shelby, Indiana is an unincorporated community in Lake County known for its rural character and proximity to the Kankakee River in northwestern Indiana.
  • D. Advance, Indiana
    Advance, Indiana is a small rural town in Boone County known for its agricultural surroundings and tight-knit community.
  • E. Waterloo, Indiana
    Waterloo, Indiana is a small town in northeastern Indiana that functions as a regional rail stop, notably hosting Amtrak’s Capitol Limited route between Chicago and the East Coast.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e8d7888190a837620967a150e3 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9da0ac8190878799d4780f9b28 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.