Triple

T17530920
Position Surface form Disambiguated ID Type / Status
Subject Robertson County, Texas E426927 entity
Predicate largestCity P235 FINISHED
Object Hearne, 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: Hearne, Texas | Statement: [Robertson County, Texas, largestCity, Hearne, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hearne, Texas
Context triple: [Robertson County, Texas, largestCity, Hearne, Texas]
  • A. Hearne, Texas chosen
    Hearne, Texas is a small city in Robertson County that serves as a regional rail and transportation hub within the Brazos Valley of Central Texas.
  • B. 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.
  • C. Rosebud, Texas
    Rosebud, Texas is a small rural city in central Texas known for its agricultural community and historic small-town character.
  • 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. Teague, Texas
    Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.