Triple

T17832967
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Texas E445307 entity
Predicate contains P35 FINISHED
Object Groves, 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: Groves, Texas | Statement: [Jefferson County, Texas, contains, Groves, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groves, Texas
Context triple: [Jefferson County, Texas, contains, Groves, Texas]
  • A. Groves, Texas chosen
    Groves, Texas is a small city in Jefferson County in Southeast Texas, known as part of the industrial and petrochemical region near Port Arthur and Beaumont.
  • B. Graford, Texas
    Graford, Texas is a small rural city in North Texas known for its close-knit community and proximity to Possum Kingdom Lake.
  • C. Oak Grove, Texas
    Oak Grove, Texas is a small town located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • D. Gainesville, Texas
    Gainesville, Texas is a small North Texas city near the Oklahoma border known as the county seat of Cooke County and a regional hub within the Texoma area.
  • E. Gruver, Texas
    Gruver, Texas is a small rural city in the Texas Panhandle known for its agricultural economy and tight-knit community.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d257414819088730f48ad7ab9ae completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:15 a.m.