Triple

T27882777
Position Surface form Disambiguated ID Type / Status
Subject MMSM E705137 entity
Predicate associatedAirportAlternateName P22570 FINISHED
Object Aeropuerto Internacional Felipe Ángeles 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: Aeropuerto Internacional Felipe Ángeles | Statement: [MMSM, associatedAirportAlternateName, Aeropuerto Internacional Felipe Ángeles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedAirportAlternateName
Context triple: [MMSM, associatedAirportAlternateName, Aeropuerto Internacional Felipe Ángeles]
  • A. airportAlsoKnownAs chosen
    Indicates that an airport is referred to by an alternative name or alias in addition to its primary name.
  • B. associatedAirport
    Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
  • C. destinationAirportAlternativeName
    Indicates that an airport serves as an alternative or secondary destination for another airport, typically used when the primary destination is unavailable or unsuitable.
  • D. associatedAirportLocalName
    Indicates the local or native-language name of the airport that is associated with the given entity.
  • E. associatedAirportReplaced
    Indicates that one airport in an association has been superseded or replaced by another airport.
  • F. None of above.

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_69ef96b39c448190a9b3aa6672a5168f completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_6a00818b20a881909fbf3bb33dcf7029 completed May 10, 2026, 1 p.m.
PD Predicate disambiguation batch_6a0080f76f588190a933238861243d1a completed May 10, 2026, 12:58 p.m.
Created at: April 27, 2026, 6:31 p.m.