Triple

T17637125
Position Surface form Disambiguated ID Type / Status
Subject Gray County, Texas E430124 entity
Predicate countySeat P383 FINISHED
Object Pampa, 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: Pampa, Texas | Statement: [Gray County, Texas, countySeat, Pampa, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pampa, Texas
Context triple: [Gray County, Texas, countySeat, Pampa, Texas]
  • A. Pampa, Texas chosen
    Pampa, Texas is a small city in the Texas Panhandle known historically for its role in the oil and gas industry and as a regional hub for agriculture and transportation.
  • B. Pantego, Texas
    Pantego, Texas is a small incorporated town in the Dallas–Fort Worth metropolitan area known for its suburban residential character and proximity to Arlington.
  • C. Palmer, Texas
    Palmer, Texas is a small town located in Ellis County within the Dallas–Fort Worth metropolitan area.
  • D. Purves, Texas
    Purves, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
  • E. Palo Pinto, Texas
    Palo Pinto, Texas is a small unincorporated community in North Texas that serves as the administrative and historical center of Palo Pinto County.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de1e0888190a3c8bbd451aed2fb completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.