Triple

T9044499
Position Surface form Disambiguated ID Type / Status
Subject Huntington County region E216719 entity
Predicate includesCommunity P8617 FINISHED
Object Bowerstown, Indiana E775952 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: Bowerstown, Indiana | Statement: [Huntington County region, includesCommunity, Bowerstown, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowerstown, Indiana
Context triple: [Huntington County region, includesCommunity, Bowerstown, Indiana]
  • A. Bowerstown, Indiana chosen
    Bowerstown, Indiana is a small unincorporated rural community located in Huntington County in the U.S. state of Indiana.
  • B. Pittsboro, Indiana
    Pittsboro, Indiana is a small town in central Indiana that forms part of the Indianapolis metropolitan area.
  • C. Bowersville, Ohio
    Bowersville, Ohio is a small village located in Greene County in the southwestern part of the state.
  • D. Abington, Indiana
    Abington, Indiana is a small unincorporated rural community located in eastern Indiana within Wayne County.
  • E. Thayer, Indiana
    Thayer, Indiana is a small unincorporated community located in Shelby County in the U.S. state of Indiana.
  • 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_69d05beac7a08190a4e7634bf02ce304 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:09 p.m.