Triple

T15940217
Position Surface form Disambiguated ID Type / Status
Subject Reeves County E386537 entity
Predicate borderedBy P224 FINISHED
Object Jeff Davis County E899910 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: Jeff Davis County | Statement: [Reeves County, borderedBy, Jeff Davis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Davis County
Context triple: [Reeves County, borderedBy, Jeff Davis County]
  • A. Jeff Davis County
    Jeff Davis County is a rural county in southeastern Georgia known for its small-town communities and agricultural landscape.
  • B. Jeff Davis County chosen
    Jeff Davis County is a sparsely populated county in West Texas known for its mountainous terrain, dark skies, and the town of Fort Davis.
  • C. Van Zandt County
    Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
  • D. Cottle County
    Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
  • E. Payne County
    Payne County is a county in north-central Oklahoma best known as the home of the city of Stillwater and Oklahoma State University.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a502c82881908d5b6f7c23e8a403 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 4:53 a.m.