Triple

T22088855
Position Surface form Disambiguated ID Type / Status
Subject Bamaga Airport E545859 entity
Predicate hasIATAcode P2569 FINISHED
Object ABM
ABM is the IATA airport code for Bamaga Airport, a regional airport serving the northern tip of Queensland, Australia.
 E1518557 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: ABM | Statement: [Bamaga Airport, hasIATAcode, ABM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ABM
Context triple: [Bamaga Airport, hasIATAcode, ABM]
  • A. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • B. AMB
    AMB is the station code for Ambelokipi, a metro station on the Athens Metro network in Greece.
  • C. AMB
    AMB is the official acronym for the Venezuelan Air Force, the aerial warfare branch of Venezuela’s armed forces.
  • D. ABZ
    ABZ is the three-letter IATA airport code for Aberdeen International Airport in Aberdeen, Scotland.
  • E. ABT
    ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
  • 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: ABM
Triple: [Bamaga Airport, hasIATAcode, ABM]
Generated description
ABM is the IATA airport code for Bamaga Airport, a regional airport serving the northern tip of Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ABM
Target entity description: ABM is the IATA airport code for Bamaga Airport, a regional airport serving the northern tip of Queensland, Australia.
  • A. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • B. AMB
    AMB is the station code for Ambelokipi, a metro station on the Athens Metro network in Greece.
  • C. AMB
    AMB is the official acronym for the Venezuelan Air Force, the aerial warfare branch of Venezuela’s armed forces.
  • D. ABZ
    ABZ is the three-letter IATA airport code for Aberdeen International Airport in Aberdeen, Scotland.
  • E. ABT
    ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e47ba08190a208af72a7cc176f completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87982c6c8190af25c334ba1437d6 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a89500af08190a4837a0ef6d7042d completed May 18, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8a353b3881908230b1dc890c896f completed May 18, 2026, 3:40 a.m.
Created at: April 16, 2026, 8:29 p.m.