Triple

T769045
Position Surface form Disambiguated ID Type / Status
Subject KSFO E16239 entity
Predicate hasIATACode P2569 FINISHED
Object SFO E2842 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: SFO | Statement: [KSFO, hasIATACode, SFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SFO
Context triple: [KSFO, hasIATACode, SFO]
  • A. San Francisco International Airport chosen
    San Francisco International Airport is a major international air travel hub serving the San Francisco Bay Area and one of the busiest airports in the United States.
  • B. Los Angeles International Airport
    Los Angeles International Airport is one of the busiest airports in the world and a major international gateway for air travel to and from the United States.
  • C. LaGuardia Airport
    LaGuardia Airport is a major commercial airport in Queens serving New York City, particularly known for its domestic flights and proximity to Manhattan.
  • D. John Wayne Airport
    John Wayne Airport is a commercial and general aviation airport serving Orange County and the greater Southern California region, located in Santa Ana, California.
  • E. San Jose International Airport
    San Jose International Airport is a major commercial airport in Silicon Valley serving the San Jose and greater Bay Area 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a701e584819095905cf74d33e11c completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792851cc481908d019836ff98d46d completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.