Triple

T16537048
Position Surface form Disambiguated ID Type / Status
Subject Caldwell County, Texas E401719 entity
Predicate countySeat P383 FINISHED
Object Lockhart, 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: Lockhart, Texas | Statement: [Caldwell County, Texas, countySeat, Lockhart, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockhart, Texas
Context triple: [Caldwell County, Texas, countySeat, Lockhart, Texas]
  • A. Lockhart, Texas chosen
    Lockhart, Texas is a small Central Texas city renowned as the "Barbecue Capital of Texas" and a historic hub of the Austin–San Antonio region.
  • B. Lockney, Texas
    Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
  • C. Hart, Texas
    Hart, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location within Castro County.
  • D. Harleton, Texas
    Harleton, Texas is a small unincorporated rural community in northeastern Texas, known for its close-knit population and location within Harrison County.
  • E. Hutto, Texas
    Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
Created at: April 10, 2026, 5:15 a.m.