Triple

T8964457
Position Surface form Disambiguated ID Type / Status
Subject Trinity County, Texas E214091 entity
Predicate hasCity P316 FINISHED
Object Groveton, Texas E768789 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: Groveton, Texas | Statement: [Trinity County, Texas, hasCity, Groveton, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groveton, Texas
Context triple: [Trinity County, Texas, hasCity, Groveton, Texas]
  • A. Groveton, Texas chosen
    Groveton, Texas is a small rural city in East Texas known as the administrative and commercial hub of Trinity County.
  • B. Oak Grove, Texas
    Oak Grove, Texas is a small town located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • C. Groves, Texas
    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.
  • 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. Grapevine, Texas
    Grapevine, Texas is a suburban city in North Texas known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a753f8819084b952f20997c8d6 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:01 p.m.