Triple

T3999628
Position Surface form Disambiguated ID Type / Status
Subject Runway 07L/25R E87182 entity
Predicate supportsIFROperations P203 FINISHED
Object possible 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: possible | Statement: [Runway 07L/25R, supportsIFROperations, possible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsIFROperations
Context triple: [Runway 07L/25R, supportsIFROperations, possible]
  • A. supportsOperationsIn
    Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
  • B. isSupportedBy
    Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
  • C. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • D. operationSupported
    Indicates that a particular operation is available and can be performed or handled by a given entity or system.
  • E. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8579288190940487ad07e38de0 completed March 9, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69aef8f89f2881909b0965419d15d46c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:34 p.m.