Triple

T18881716
Position Surface form Disambiguated ID Type / Status
Subject Whangārei Airport E461843 entity
Predicate hasIATACode P2569 FINISHED
Object WRE
WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
 E1347039 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: WRE | Statement: [Whangārei Airport, hasIATACode, WRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WRE
Context triple: [Whangārei Airport, hasIATACode, WRE]
  • A. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • B. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • C. WRAN
    WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
  • D. WRH
    WRH is the National Rail station code for Worthing railway station in West Sussex, England.
  • E. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • 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: WRE
Triple: [Whangārei Airport, hasIATACode, WRE]
Generated description
WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WRE
Target entity description: WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
  • A. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • B. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • C. WRAN
    WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
  • D. WRH
    WRH is the National Rail station code for Worthing railway station in West Sussex, England.
  • E. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d2028481908af2b1560312e26c completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c4f044819086125edb8d0f07ca completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a057954c5b88190937627ae912260d2 completed May 14, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0579b6fc3c8190979029570f06a546 completed May 14, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:57 a.m.