Triple

T9044490
Position Surface form Disambiguated ID Type / Status
Subject Huntington County region E216719 entity
Predicate includesCommunity P8617 FINISHED
Object Buckeye, Indiana E807127 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: Buckeye, Indiana | Statement: [Huntington County region, includesCommunity, Buckeye, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buckeye, Indiana
Context triple: [Huntington County region, includesCommunity, Buckeye, Indiana]
  • A. Osceola, Indiana
    Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
  • B. Pennville, Indiana
    Pennville, Indiana is an unincorporated community located in Wayne County in the eastern part of the state.
  • C. Woodburn, Indiana
    Woodburn, Indiana is a small city in northeastern Indiana known as one of the easternmost communities in Allen County near the Ohio border.
  • D. Riverside, Indiana chosen
    Riverside, Indiana is an unincorporated community located within Huntington County in the U.S. state of Indiana.
  • E. Kouts, Indiana
    Kouts, Indiana is a small rural town located in northwestern Indiana within the Chicago metropolitan region.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1610abbec81908743c1ef20fb39d4 completed April 4, 2026, 7:05 p.m.
Created at: March 30, 2026, 7:09 p.m.