Triple

T15334617
Position Surface form Disambiguated ID Type / Status
Subject Western Sydney International Airport E366629 entity
Predicate IATAcode P418 FINISHED
Object WSI
WSI is the IATA airport code assigned to Western Sydney International Airport, a major new airport serving the Sydney region in New South Wales, Australia.
 E1152328 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: WSI | Statement: [Western Sydney International Airport, IATAcode, WSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WSI
Context triple: [Western Sydney International Airport, IATAcode, WSI]
  • A. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • B. WIS
    WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • 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 standard abbreviation used for the Wisconsin Woodchucks baseball team.
  • E. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • 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: WSI
Triple: [Western Sydney International Airport, IATAcode, WSI]
Generated description
WSI is the IATA airport code assigned to Western Sydney International Airport, a major new airport serving the Sydney region in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WSI
Target entity description: WSI is the IATA airport code assigned to Western Sydney International Airport, a major new airport serving the Sydney region in New South Wales, Australia.
  • A. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • B. WIS
    WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • C. WIS
    WIS is the standard abbreviation used for the Wisconsin Woodchucks baseball team.
  • D. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • E. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff05fbf6e481909727758ae2699bad completed May 9, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff06e098cc8190ab67143071bca1dc completed May 9, 2026, 10:05 a.m.
Created at: April 10, 2026, 3:17 a.m.