Triple

T16535902
Position Surface form Disambiguated ID Type / Status
Subject Jones County, Texas E401689 entity
Predicate countySeat P383 FINISHED
Object Anson, Texas E1197820 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: Anson, Texas | Statement: [Jones County, Texas, countySeat, Anson, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anson, Texas
Context triple: [Jones County, Texas, countySeat, Anson, Texas]
  • A. Anson, Texas chosen
    Anson, Texas is a small city in West Texas known for its agricultural community and historic downtown.
  • B. Annetta, Texas
    Annetta, Texas is a small residential town in North Texas that forms part of the Dallas–Fort Worth metropolitan area.
  • C. Yantis, Texas
    Yantis, Texas is a small rural town in East Texas known for its proximity to Lake Fork Reservoir and its fishing and outdoor recreation opportunities.
  • D. Ashland, Texas
    Ashland, Texas is a small unincorporated rural community located in northeastern Texas within Upshur County.
  • E. Anton, Texas
    Anton, Texas is a small rural city in the Llano Estacado region of West Texas, located northwest of Lubbock.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.