Triple

T5191299
Position Surface form Disambiguated ID Type / Status
Subject Tyler metropolitan area E117159 entity
Predicate containsCity P294 FINISHED
Object Chandler, Texas E372809 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: Chandler, Texas | Statement: [Tyler metropolitan area, containsCity, Chandler, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandler, Texas
Context triple: [Tyler metropolitan area, containsCity, 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. Chico, Texas
    Chico, Texas is a small rural town in north-central Texas known for its tight-knit community and location within Wise County.
  • C. Crandall, Texas
    Crandall, Texas is a small city in North Texas that serves as a residential community within the Dallas–Fort Worth metropolitan area.
  • D. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • E. Alvarado, Texas
    Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ed61c88190bda492f6489f44de completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefbcbd1881908afc477150135961 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:46 p.m.