Triple

T8868611
Position Surface form Disambiguated ID Type / Status
Subject Combine, Texas E211085 entity
Predicate locatedNear P294 FINISHED
Object Kaufman, Texas E241493 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: Kaufman, Texas | Statement: [Combine, Texas, locatedNear, Kaufman, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaufman, Texas
Context triple: [Combine, Texas, locatedNear, Kaufman, Texas]
  • A. Kaufman, Texas chosen
    Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
  • B. Richwood, Texas
    Richwood, Texas is a small city in Brazoria County that forms part of the Greater Houston metropolitan region.
  • C. Keene, Texas
    Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
  • D. Weatherford, Texas
    Weatherford, Texas is a historic North Texas city in the Dallas–Fort Worth metropolitan area known for its Western heritage, peach industry, and small-town charm.
  • E. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb1d130c81909f7f23b7ad8bba9f completed April 3, 2026, 4:30 p.m.
Created at: March 30, 2026, 6:51 p.m.