Triple

T10762074
Position Surface form Disambiguated ID Type / Status
Subject Loving County E253851 entity
Predicate hasJurisdiction P285 FINISHED
Object Mentone, Texas E884655 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: Mentone, Texas | Statement: [Loving County, hasJurisdiction, Mentone, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mentone, Texas
Context triple: [Loving County, hasJurisdiction, Mentone, Texas]
  • A. Mentone, Texas chosen
    Mentone, Texas is a tiny unincorporated community in West Texas known as one of the least-populated county seats in the United States.
  • B. Mount Pleasant, Texas
    Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex area.
  • C. Murchison, Texas
    Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
  • D. Montalba, Texas
    Montalba, Texas is a small unincorporated rural community located in East Texas.
  • E. Mesquite, Texas
    Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a230ac8190920439076aaeb91e completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff78257b88190942308719d9fa6a6 completed April 15, 2026, 8:39 p.m.
Created at: April 8, 2026, 9:16 p.m.