Triple

T18160810
Position Surface form Disambiguated ID Type / Status
Subject Runway 13/31 E434754 entity
Predicate airportFAA P67437 FINISHED
Object RBD NE NERFINISHED

How this triple was built (3 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: RBD | Statement: [Runway 13/31, airportFAA, RBD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RBD
Context triple: [Runway 13/31, airportFAA, RBD]
  • A. RBD chosen
    RBD is the three-letter IATA airport code assigned to Dallas Executive Airport in Dallas, Texas.
  • B. RBD
    RBD is a Mexican pop group that gained international fame in the mid-2000s through the telenovela "Rebelde" and a series of hit albums and tours.
  • C. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • D. RB
    RB is a common train service designation in German-speaking countries referring to RegionalBahn, which operates short- to medium-distance regional passenger rail services with frequent stops.
  • E. RB
    RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airportFAA
Context triple: [Runway 13/31, airportFAA, RBD]
  • A. airportCodeFAA chosen
    Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
  • B. airportIATAAssociated
    Indicates that an airport is associated with a specific IATA (International Air Transport Association) code.
  • C. airportUse
    Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
  • D. airportDesignation
    Indicates that an entity is officially designated or classified as an airport.
  • E. airportStation
    Indicates a location functions as an airport facility where air transport operations occur.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec21e6081909070491f679c873c completed April 19, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:30 a.m.