Triple

T3255446
Position Surface form Disambiguated ID Type / Status
Subject Gold Coast Airport E68283 entity
Predicate IATAcode P418 FINISHED
Object OOL
OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
 E341219 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: OOL | Statement: [Gold Coast Airport, IATAcode, OOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OOL
Context triple: [Gold Coast Airport, IATAcode, OOL]
  • A. OLE
    OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
  • B. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • C. OL
    OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
  • D. OL
    OL is the commonly used abbreviation for Olympique Lyonnais, a major French football club best known internationally for its highly successful women's team.
  • E. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • 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: OOL
Triple: [Gold Coast Airport, IATAcode, OOL]
Generated description
OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OOL
Target entity description: OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
  • A. OLE
    OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
  • B. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • C. OL
    OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
  • D. OL
    OL is the commonly used abbreviation for Olympique Lyonnais, a major French football club best known internationally for its highly successful women's team.
  • E. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6753b0819081755a529fd87cb1 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ece1d1c81909bacadecea679a7f completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2904acf6881908fc4f1eb0e515b19 completed March 12, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69b2a8b873b081909bbb5de329e45169 completed March 12, 2026, 11:51 a.m.
Created at: March 8, 2026, 3:09 p.m.