Triple

T16036967
Position Surface form Disambiguated ID Type / Status
Subject LEZG E388992 entity
Predicate ICAORegion P121695 FINISHED
Object LE 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: LE | Statement: [LEZG, ICAORegion, LE]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ICAORegion
Context triple: [LEZG, ICAORegion, LE]
  • A. associatedAirportICAOSubregion
    Indicates a relationship where an airport is linked to the specific ICAO-defined subregion in which it is located or with which it is operationally associated.
  • B. associatedAirportGeographicRegion
    Indicates that an airport is located within or linked to a specific geographic region.
  • C. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • D. 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.
  • E. ISORegion
    Indicates a standardized geographic or administrative region as defined by an ISO (International Organization for Standardization) code.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1826f34c081908005bb736f1c485d completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e1ff5cd7e481908a29214139a3de2e completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 4:56 a.m.