Triple

T10363335
Position Surface form Disambiguated ID Type / Status
Subject National Airspace System E244188 entity
Predicate airspaceClassifications P70676 FINISHED
Object Class A airspace 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: Class A airspace | Statement: [National Airspace System, airspaceClassifications, Class A airspace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airspaceClassifications
Context triple: [National Airspace System, airspaceClassifications, Class A airspace]
  • A. airspaceType chosen
    Indicates the classification or category of airspace that applies to a given location or flight segment.
  • B. airspaceRole
    Indicates the specific function or responsibility an entity has within a defined airspace.
  • C. hasAirportClassification
    Indicates that an airport is assigned a specific classification or category based on defined criteria.
  • D. appliesToAirspaceOf
    Indicates that a rule, restriction, or condition is specifically relevant to, or in effect within, a particular airspace.
  • E. flightRegime
    Indicates the operational conditions or phase of flight under which an aircraft or aerospace vehicle is functioning (e.g., speed, altitude, and atmospheric regime).
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e963a6148190822951e72590b9df completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, noon