Triple

T25222
Position Surface form Disambiguated ID Type / Status
Subject La Serena E503 entity
Predicate hasAirport P105 FINISHED
Object La Florida Airport E16438 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: La Florida Airport | Statement: [La Serena, hasAirport, La Florida Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Florida Airport
Context triple: [La Serena, hasAirport, La Florida Airport]
  • A. La Florida Airport chosen
    La Florida Airport is a regional airport serving the city of La Serena and the surrounding Coquimbo Region in northern Chile.
  • B. Midway International Airport
    Midway International Airport is a major commercial airport on Chicago’s southwest side that serves as a key hub for domestic flights in the United States.
  • C. Idlewild Airport
    Idlewild Airport was the original name of New York City’s major international airport now known as John F. Kennedy International Airport.
  • D. Charles B. Wheeler Downtown Airport
    Charles B. Wheeler Downtown Airport is a general aviation and corporate airport located near downtown Kansas City, Missouri, serving as one of the city's primary aviation facilities.
  • E. Massport
    Massport is the Massachusetts Port Authority, a public agency that owns and operates key transportation facilities in the Boston area, including Logan International Airport and the Port of Boston.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa77f01081908738405e28c789d8 completed Feb. 28, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 1:34 a.m.