Triple

T20030843
Position Surface form Disambiguated ID Type / Status
Subject Depati Amir Airport E495119 entity
Predicate ICAOcode P419 FINISHED
Object WIPK
WIPK is the ICAO airport code for Depati Amir Airport, a public airport serving Pangkal Pinang in Indonesia.
 E1407891 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: WIPK | Statement: [Depati Amir Airport, ICAOcode, WIPK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIPK
Context triple: [Depati Amir Airport, ICAOcode, WIPK]
  • A. WINK
    WINK is a type of regional multiple-unit train developed and marketed by Stadler Rail for efficient, flexible passenger service.
  • B. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • C. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • D. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • E. WIS
    WIS is the standard abbreviation used for the Wisconsin Woodchucks baseball team.
  • 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: WIPK
Triple: [Depati Amir Airport, ICAOcode, WIPK]
Generated description
WIPK is the ICAO airport code for Depati Amir Airport, a public airport serving Pangkal Pinang in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIPK
Target entity description: WIPK is the ICAO airport code for Depati Amir Airport, a public airport serving Pangkal Pinang 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. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • C. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • D. WIS
    WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • E. WIS
    WIS is the standard abbreviation used for the Wisconsin Woodchucks baseball team.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66291a00c8190b0b895909f32d623 completed April 20, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e332c1c8190b72a813d8f078b33 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080fdd67ac8190ae6e23cab4a5b89e completed May 16, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0810a84da081908d5e662dccf38208 completed May 16, 2026, 6:37 a.m.
Created at: April 11, 2026, 3:36 p.m.