Triple

T16952728
Position Surface form Disambiguated ID Type / Status
Subject Northwest Indiana E411222 entity
Predicate hasMajorCity P316 FINISHED
Object Hebron, Indiana E211372 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: Hebron, Indiana | Statement: [Northwest Indiana, hasMajorCity, Hebron, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebron, Indiana
Context triple: [Northwest Indiana, hasMajorCity, Hebron, Indiana]
  • A. Hebron, Indiana chosen
    Hebron, Indiana is a small Midwestern town known for its rural character and tight-knit community in northwestern Indiana.
  • B. Haubstadt, Indiana
    Haubstadt, Indiana is a small town in southwestern Indiana known for its rural community character and proximity to the Evansville metropolitan area.
  • C. Hebron, Ohio
    Hebron, Ohio is a small village in central Ohio known for its proximity to Buckeye Lake and its location along major transportation routes east of Columbus.
  • D. Brownsville, Indiana
    Brownsville, Indiana is a small unincorporated community located in rural Union County in the eastern part of the state.
  • E. Hudson, Indiana
    Hudson, Indiana is a small town located in northeastern Indiana within Steuben County, known for its rural character and close-knit community.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01a4ae8819085a6ce01fbc71b0f completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.