Triple

T9044476
Position Surface form Disambiguated ID Type / Status
Subject Huntington County region E216719 entity
Predicate includesCommunity P8617 FINISHED
Object Warren, Indiana E797002 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: Warren, Indiana | Statement: [Huntington County region, includesCommunity, Warren, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren, Indiana
Context triple: [Huntington County region, includesCommunity, Warren, Indiana]
  • A. Warren, Indiana chosen
    Warren, Indiana is a small town in northeastern Indiana known for its rural character and tight-knit community.
  • B. Winfield, Indiana
    Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
  • C. Madison, Indiana
    Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
  • D. Harlan, Indiana
    Harlan, Indiana is a small unincorporated community in northeastern Indiana located near the city of Fort Wayne.
  • E. Anderson, Indiana
    Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
  • 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_69d14bc281688190b65b8224b70f08d7 completed April 4, 2026, 5:34 p.m.
Created at: March 30, 2026, 7:09 p.m.