Triple

T3012056
Position Surface form Disambiguated ID Type / Status
Subject north runway complex at Los Angeles International Airport E82244 entity
Predicate hasDirectionRelativeToAirport P31133 FINISHED
Object north of terminal area 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: north of terminal area | Statement: [north runway complex at Los Angeles International Airport, hasDirectionRelativeToAirport, north of terminal area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDirectionRelativeToAirport
Context triple: [north runway complex at Los Angeles International Airport, hasDirectionRelativeToAirport, north of terminal area]
  • A. transportDirection
    Indicates the directional flow or route along which something is transported from an origin toward a destination.
  • B. approachDirection chosen
    Indicates the direction or bearing from which one entity moves closer to or advances toward another entity.
  • C. destinationOfFlight
    Indicates the location or place to which a given flight is traveling or scheduled to arrive.
  • D. hasRunwayOrientation
    Indicates that a runway is aligned or oriented in a specific directional heading.
  • E. terminusDirection
    Indicates the directional orientation or endpoint direction associated with a route, path, or line.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a66c334819082d1d320c48eca1b completed March 8, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69ad961a97188190809dc73430a8eda8 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.