Triple

T9486319
Position Surface form Disambiguated ID Type / Status
Subject PANS-OPS E228769 entity
Predicate efficiencyObjective P33716 FINISHED
Object to support efficient use of airspace and runways through standardized procedures 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: to support efficient use of airspace and runways through standardized procedures | Statement: [PANS-OPS, efficiencyObjective, to support efficient use of airspace and runways through standardized procedures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: efficiencyObjective
Context triple: [PANS-OPS, efficiencyObjective, to support efficient use of airspace and runways through standardized procedures]
  • A. maximumEfficiency
    Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
  • B. moreEfficientThan
    Indicates that one entity performs a task or uses resources with greater efficiency than another entity.
  • C. optimizationTarget chosen
    Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
  • D. trainingObjective
    Indicates the goal or target outcome that a training process is designed to achieve.
  • E. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8051303881909566126a2688e41c completed April 1, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69cca561e6b0819090aa795f3c3a2083 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:55 p.m.