Triple

T15077645
Position Surface form Disambiguated ID Type / Status
Subject Hartley County E380046 entity
Predicate contains P35 FINISHED
Object Dalhart, Texas E860808 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: Dalhart, Texas | Statement: [Hartley County, contains, Dalhart, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalhart, Texas
Context triple: [Hartley County, contains, Dalhart, Texas]
  • A. Dalhart, Texas chosen
    Dalhart, Texas is a small city in the Texas Panhandle known as an agricultural and ranching hub near the Oklahoma and New Mexico borders.
  • B. Hearne, Texas
    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.
  • C. Elkhart, Texas
    Elkhart, Texas is a small rural town in Anderson County known for its tight-knit community and location in East Texas.
  • D. Talty, Texas
    Talty, Texas is a small town in northeastern Texas that functions largely as a residential community within the Dallas–Fort Worth metropolitan area.
  • E. Dale, Texas
    Dale, Texas is a small unincorporated rural community located in Caldwell County in central Texas.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7dfae748190a0d59df5cbd5787d completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:03 a.m.