Triple

T26047350
Position Surface form Disambiguated ID Type / Status
Subject WICA E647869 entity
Predicate regionServedByICAOCodePrefix P25279 FINISHED
Object Indonesia (western part) NE NERFINISHED

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: Indonesia (western part) | Statement: [WICA, regionServedByICAOCodePrefix, Indonesia (western part)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionServedByICAOCodePrefix
Context triple: [WICA, regionServedByICAOCodePrefix, Indonesia (western part)]
  • A. ICAORegion
    Indicates that an entity is located within, associated with, or governed by a specific ICAO (International Civil Aviation Organization) region.
  • B. hasIcaoRegion
    Indicates that an entity is associated with a specific ICAO (International Civil Aviation Organization) region.
  • C. 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.
  • D. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • E. hasAirportCodeRegion chosen
    Indicates that an airport code is associated with, or belongs to, a specific geographic or administrative region.
  • 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_69e77e8d419481908004e6318d28aaab completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6c1265c208190aacd2b551f8f0f82 completed May 3, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69f6bd2415fc81908c23c311aebce66f completed May 3, 2026, 3:12 a.m.
Created at: April 22, 2026, 9:10 a.m.