Triple

T913156
Position Surface form Disambiguated ID Type / Status
Subject Bayou Bucket Classic E19709 entity
Predicate location P40 FINISHED
Object Houston, Texas 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: Houston, Texas | Statement: [Bayou Bucket Classic, location, Houston, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston, Texas
Context triple: [Bayou Bucket Classic, location, Houston, Texas]
  • 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. 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.
  • C. 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.
  • D. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • E. Frisco, Texas
    Frisco, Texas is a rapidly growing suburban city in the Dallas–Fort Worth metropolitan area known for its sports venues, retail centers, and family-friendly communities.
  • 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_69b22465a5fc8190a4ce058a97e921cb completed March 12, 2026, 2:26 a.m.
Created at: March 1, 2026, 7:39 p.m.