Triple

T21889353
Position Surface form Disambiguated ID Type / Status
Subject Runway 13R/31L E540494 entity
Predicate servesCity P82 FINISHED
Object Houston 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 | Statement: [Runway 13R/31L, servesCity, Houston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston
Context triple: [Runway 13R/31L, servesCity, 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. Houston
    Houston is a village in Renfrewshire, Scotland, known for its historic conservation area and role as a commuter settlement near Glasgow.
  • C. Dallas
    Dallas is a central female character in the classic Western film "Stagecoach," portrayed as a compassionate yet socially ostracized woman whose journey reveals themes of dignity and redemption.
  • D. Dallas
    Dallas is the calm, pragmatic captain of the commercial starship Nostromo in the 1979 science fiction horror film "Alien."
  • E. Dallas
    Dallas is a major city in north Texas known for its role as a commercial and cultural hub, with a rich history in railroads, oil, and telecommunications.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ef2b648190bbd78f6b3958d2ee completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:06 p.m.