Triple

T16689284
Position Surface form Disambiguated ID Type / Status
Subject Hill County E405550 entity
Predicate hasSettlement P1068 FINISHED
Object Itasca, Texas NE NERFINISHED

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: Itasca, Texas | Statement: [Hill County, hasSettlement, Itasca, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itasca, Texas
Context triple: [Hill County, hasSettlement, Itasca, Texas]
  • A. Itasca, Texas chosen
    Itasca, Texas is a small rural city in North Texas known for its agricultural roots and tight-knit community.
  • B. Lockney, Texas
    Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
  • C. Whitehouse, Texas
    Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
  • D. New London, Texas
    New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
  • E. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
Created at: April 10, 2026, 5:19 a.m.