Triple

T24063915
Position Surface form Disambiguated ID Type / Status
Subject TGPZ E596033 entity
Predicate formerRunwayType P15527 FINISHED
Object single runway 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: single runway | Statement: [TGPZ, formerRunwayType, single runway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerRunwayType
Context triple: [TGPZ, formerRunwayType, single runway]
  • A. usesRunwayOf
    Indicates that one entity makes use of the runway that belongs to or is associated with another entity.
  • B. hasRunwayType chosen
    Indicates that an airport or airfield has a runway of a specified type or surface classification.
  • C. runway
    Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
  • D. runwayPair
    Indicates that two runways are associated or grouped together as a functional pair, typically for coordinated or complementary use.
  • E. isRunwayOf
    Indicates that a physical runway is a component or facility belonging to, used by, or officially associated with a particular airport or airfield.
  • 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_69e288c25c008190850cf447940ab181 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da598dec8190a625309fd8f10f1d completed April 29, 2026, 10:15 a.m.
PD Predicate disambiguation batch_69f1764b1d4c8190b12590c6339c31c1 completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 10:39 p.m.