Triple

T7774429
Position Surface form Disambiguated ID Type / Status
Subject VEGT E179155 entity
Predicate icaoPrefix P34409 FINISHED
Object VE 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: VE | Statement: [VEGT, icaoPrefix, VE]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: icaoPrefix
Context triple: [VEGT, icaoPrefix, VE]
  • A. icaoRegionPrefix chosen
    Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
  • B. hasAirportCodePrefix
    Indicates that an airport’s code begins with a specified sequence of characters.
  • C. ICAOTypeDesignator
    Indicates the standardized aircraft type code assigned by ICAO that specifies the model or family of an aircraft used in aviation operations and documentation.
  • D. tailNumberPrefix
    Indicates that one entity’s tail number begins with the specified prefix represented by the other entity.
  • E. aircraftDesignationPrefix
    Indicates the standardized prefix used in an aircraft’s designation that conveys its type, role, or function.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046331e0819080ec1a5c23c27cd7 completed March 27, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69c7016f4ce881909c2e9f610255187b completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:11 p.m.