Triple

T11357121
Position Surface form Disambiguated ID Type / Status
Subject CTN E268984 entity
Predicate usedInAirTrafficControlCommunications P94343 FINISHED
Object yes 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: yes | Statement: [CTN, usedInAirTrafficControlCommunications, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInAirTrafficControlCommunications
Context triple: [CTN, usedInAirTrafficControlCommunications, yes]
  • A. usedInAirTrafficControlFor
    Indicates that something serves as a tool, system, or resource specifically employed in the management, monitoring, or regulation of air traffic.
  • B. usedInAviationCommunication chosen
    Indicates that something (such as a term, signal, or technology) is employed within the context of aviation-related communication.
  • C. usedInAviation
    Indicates that something is employed or applied within the field or context of aviation.
  • D. usedInAviationNavigation
    Indicates that something is employed as a tool, method, or system for aiding navigation in aviation contexts.
  • E. usedInAviationCodeContext
    Indicates that something is employed or referenced within the context of aviation-related codes or coding systems.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.