Triple

T33958977
Position Surface form Disambiguated ID Type / Status
Subject DFW Airport Skylink E870655 entity
Predicate locatedAirsideOrLandside P161319 FINISHED
Object airside LITERAL 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: airside | Statement: [DFW Airport Skylink, locatedAirsideOrLandside, airside]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedAirsideOrLandside
Context triple: [DFW Airport Skylink, locatedAirsideOrLandside, airside]
  • A. isAirside chosen
    Indicates that something is located within the secure, restricted-access area of an airport beyond security checkpoints, typically accessible only to authorized personnel and ticketed passengers.
  • B. hasLandsideConnection
    Indicates that two locations are connected by a route or access on land, allowing movement between them without using air or water transport.
  • C. hasLandsideArea
    Indicates that one entity includes or is associated with a landside area, typically the non-airside portion of a transport or terminal facility.
  • D. locatedInAirportArea
    Indicates that something is situated within the grounds or designated area of an airport.
  • E. isLocatedAtAirportType
    Indicates that one entity is situated at, or associated with, an airport of a specified type (e.g., international, regional, military).
  • 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_69f3499c2d7481909c953a5010227725 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f963908190846d232f386fd98f completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:49 a.m.