Triple

T27450450
Position Surface form Disambiguated ID Type / Status
Subject Runway 23 E692423 entity
Predicate hasOppositeDirectionCounterpart P116628 FINISHED
Object Runway 05 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: Runway 05 | Statement: [Runway 23, hasOppositeDirectionCounterpart, Runway 05]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOppositeDirectionCounterpart
Context triple: [Runway 23, hasOppositeDirectionCounterpart, Runway 05]
  • A. hasOppositeDirectionTo chosen
    Indicates that one entity’s direction is exactly reversed or opposed to the direction of another entity.
  • B. hasOppositeTime
    Indicates a temporal relationship where one time point or period is positioned as the direct opposite or inverse of another within a defined temporal framework (e.g., day vs. night, past vs. future).
  • C. hasOppositeComponent
    Indicates that one component is related to another as its opposite or contrasting counterpart within a system or structure.
  • D. hasOppositeStationForOtherDirection
    Indicates that a station has a corresponding station used for travel in the opposite direction on the same route or line.
  • E. hasOppositeStructure
    Indicates that one entity possesses a structure that is the inverse or opposite in form, arrangement, or organization relative to another entity.
  • 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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a5fd8481909433e923c5e24e55 completed May 3, 2026, 2:32 a.m.
Created at: April 27, 2026, 12:47 p.m.