Triple

T6810933
Position Surface form Disambiguated ID Type / Status
Subject Yogyakarta International Airport E156630 entity
Predicate ICAOcode P419 FINISHED
Object WIRK
WIRK is the ICAO airport code assigned to Yogyakarta International Airport in Indonesia.
 E620555 NE FINISHED

How this triple was built (4 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: WIRK | Statement: [Yogyakarta International Airport, ICAOcode, WIRK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIRK
Context triple: [Yogyakarta International Airport, ICAOcode, WIRK]
  • A. WINK
    WINK is a type of regional multiple-unit train developed and marketed by Stadler Rail for efficient, flexible passenger service.
  • B. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • E. WISPR
    WISPR is the wide-field imaging instrument aboard NASA’s Parker Solar Probe that captures visible-light images of the Sun’s corona and solar wind.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WIRK
Triple: [Yogyakarta International Airport, ICAOcode, WIRK]
Generated description
WIRK is the ICAO airport code assigned to Yogyakarta International Airport in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIRK
Target entity description: WIRK is the ICAO airport code assigned to Yogyakarta International Airport in Indonesia.
  • A. WINK
    WINK is a type of regional multiple-unit train developed and marketed by Stadler Rail for efficient, flexible passenger service.
  • B. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • E. WISPR
    WISPR is the wide-field imaging instrument aboard NASA’s Parker Solar Probe that captures visible-light images of the Sun’s corona and solar wind.
  • F. None of above. chosen

Provenance (5 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa7dc3c81909ef422b5c51ae6be completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71e7cd6448190845888760c677eda completed March 28, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69c71edd37048190bf4de088ad9f11de completed March 28, 2026, 12:20 a.m.
Created at: March 27, 2026, 2:16 p.m.