Triple

T17470144
Position Surface form Disambiguated ID Type / Status
Subject Madison County, Texas E425387 entity
Predicate locatedBetween P1262 FINISHED
Object Houston, Texas NE NERFINISHED

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: [Madison County, Texas, locatedBetween, Houston, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston, Texas
Context triple: [Madison County, Texas, locatedBetween, Houston, Texas]
  • A. Houston
    Houston is a village in Renfrewshire, Scotland, known for its historic conservation area and role as a commuter settlement near Glasgow.
  • B. Houston
    Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
  • 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. Houston, Texas, United States chosen
    Houston, Texas, United States is a major Gulf Coast metropolis known for its diverse population, energy industry, NASA’s Johnson Space Center, and influential contributions to American music and culture.
  • E. Dallas
    Dallas is a character appearing in the "Home Invasion" storyline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451aad4a08190be7e25841da8e952 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.