Triple

T913225
Position Surface form Disambiguated ID Type / Status
Subject Houston Museum District E19710 entity
Predicate governingBody P46 FINISHED
Object City of Houston E15847 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: City of Houston | Statement: [Houston Museum District, governingBody, City of Houston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Houston
Context triple: [Houston Museum District, governingBody, City of Houston]
  • A. Houston chosen
    Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
  • B. Downtown Houston
    Downtown Houston is the central business district and urban core of Houston, Texas, known for its skyscrapers, entertainment venues, and major sports arenas.
  • C. Dallas, Texas
    Dallas, Texas is a major metropolitan city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and telecommunications.
  • D. Baytown, Texas
    Baytown, Texas is an industrial city in the Houston metropolitan area known for its petrochemical complexes and location along the Gulf Coast.
  • E. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2e196688190a7c15c9c538d0295 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26188fe788190a4e7055b5a507006 completed March 12, 2026, 6:47 a.m.
Created at: March 1, 2026, 7:39 p.m.