Triple

T9013019
Position Surface form Disambiguated ID Type / Status
Subject Sultan Abdul Aziz Shah Airport E215520 entity
Predicate ICAOcode P419 FINISHED
Object WMSA
WMSA is the ICAO airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
 E773639 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: WMSA | Statement: [Sultan Abdul Aziz Shah Airport, ICAOcode, WMSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WMSA
Context triple: [Sultan Abdul Aziz Shah Airport, ICAOcode, WMSA]
  • A. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • B. WMS
    WMS (Web Map Service) is an Open Geospatial Consortium standard protocol for serving georeferenced map images over the internet from distributed spatial data sources.
  • C. WMC
    WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
  • D. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • E. WMC
    WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
  • 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: WMSA
Triple: [Sultan Abdul Aziz Shah Airport, ICAOcode, WMSA]
Generated description
WMSA is the ICAO airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WMSA
Target entity description: WMSA is the ICAO airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
  • A. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • B. WMS
    WMS (Web Map Service) is an Open Geospatial Consortium standard protocol for serving georeferenced map images over the internet from distributed spatial data sources.
  • C. WMC
    WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
  • D. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • E. WMC
    WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f96980819093bfc49d48570c65 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba11a6481909cac624530a77ffe completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:06 p.m.