Triple

T21381262
Position Surface form Disambiguated ID Type / Status
Subject Smith County, Texas E527361 entity
Predicate hasCity P316 FINISHED
Object Chandler, 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: Chandler, Texas | Statement: [Smith County, Texas, hasCity, Chandler, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandler, Texas
Context triple: [Smith County, Texas, hasCity, Chandler, Texas]
  • A. Chandler, Texas chosen
    Chandler, Texas is a small city in East Texas known for its rural community character and proximity to the larger city of Tyler.
  • B. Channing, Texas
    Channing, Texas is a small rural city in the Texas Panhandle known historically as a railroad town and ranching community.
  • C. Chico, Texas
    Chico, Texas is a small rural town in north-central Texas known for its tight-knit community and location within Wise County.
  • D. Chilton, Texas
    Chilton, Texas is a small unincorporated rural community in central Texas known for its agricultural surroundings and tight-knit local population.
  • E. Coolidge, Texas
    Coolidge, Texas is a small rural town in Limestone County known for its agricultural surroundings and location in central Texas.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cec99881908481d0b08df358a8 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.