Triple

T2229351
Position Surface form Disambiguated ID Type / Status
Subject Class A airspace E48727 entity
Predicate safetyFunction P36367 FINISHED
Object separation of IFR aircraft 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: separation of IFR aircraft | Statement: [Class A airspace, safetyFunction, separation of IFR aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyFunction
Context triple: [Class A airspace, safetyFunction, separation of IFR aircraft]
  • A. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • B. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • C. safetyRelevant
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • D. notableSafety
    Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
  • E. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • F. None of above. chosen

Provenance (4 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0685b688190857a76c1043f4b92 completed March 7, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69abbdadbb0c8190b3a1ede31b8acbfa completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbe4252688190944491a450383450 completed March 7, 2026, 5:57 a.m.
Created at: March 4, 2026, 7:47 p.m.