Triple

T2927917
Position Surface form Disambiguated ID Type / Status
Subject Harris County E78891 entity
Predicate contains P35 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: [Harris County, contains, Katy, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy, Texas
Context triple: [Harris County, contains, 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. 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.
  • C. Baytown, Texas
    Baytown, Texas is an industrial city in the Houston metropolitan area known for its petrochemical complexes and location along the Gulf Coast.
  • D. Sugar Land, Texas
    Sugar Land, Texas is a rapidly growing, affluent suburban city in the Houston metropolitan area known for its master-planned communities and strong local economy.
  • E. Richmond, Texas
    Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97ff0ddc8190acba9863bbe4f54b completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28de24f9881908396d263c4e21a04 completed March 12, 2026, 9:56 a.m.
Created at: March 8, 2026, 2:55 p.m.