Triple

T22016474
Position Surface form Disambiguated ID Type / Status
Subject Smith County, Texas E543724 entity
Predicate hasCity P316 FINISHED
Object Lindale, 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: Lindale, Texas | Statement: [Smith County, Texas, hasCity, Lindale, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindale, Texas
Context triple: [Smith County, Texas, hasCity, Lindale, Texas]
  • A. Lindale, Texas chosen
    Lindale, Texas is a small city in East Texas known as a growing suburban community of the Tyler metropolitan area and the hometown of country singer Miranda Lambert.
  • B. Linden, Texas
    Linden, Texas is a small rural city in northeastern Texas that serves as the county seat of Cass County.
  • C. Leonard, Texas
    Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
  • D. Lindsay, Texas
    Lindsay, Texas is a small rural community in North Texas known for its strong German-Catholic heritage and close-knit, agricultural character.
  • E. Dale, Texas
    Dale, Texas is a small unincorporated rural community located in Caldwell County 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a8a1388190b9e0c1795fe1183a completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.