Triple

T20665917
Position Surface form Disambiguated ID Type / Status
Subject Cypress, Texas E507884 entity
Predicate nearbyCommunity P4647 FINISHED
Object Katy, Texas E253593 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: Katy, Texas | Statement: [Cypress, Texas, nearbyCommunity, Katy, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy, Texas
Context triple: [Cypress, Texas, nearbyCommunity, Katy, Texas]
  • A. Katy, Texas, United States chosen
    Katy, Texas, United States is a suburban city in the Greater Houston metropolitan area known for its strong school system and rapid residential and commercial growth.
  • B. Kyle, Texas
    Kyle, Texas is a rapidly growing small city in Central Texas located between Austin and San Marcos, known for its suburban character and proximity to major highways.
  • C. Tyler, Texas
    Tyler, Texas is a mid-sized East Texas city known as the “Rose Capital of America” for its large rose industry and annual Texas Rose Festival.
  • D. Justin, Texas
    Justin, Texas is a small city in Denton County within the Dallas–Fort Worth metropolitan area, known for its rural character and proximity to major urban centers.
  • E. Baytown, Texas
    Baytown, Texas is an industrial city in the Houston metropolitan area known for its petrochemical complexes and location along the Gulf Coast.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7d8335c819092678d51353eda8b completed May 16, 2026, 8:47 p.m.
Created at: April 16, 2026, 11:44 a.m.