Triple

T1750862
Position Surface form Disambiguated ID Type / Status
Subject RAAF Base Amberley E38436 entity
Predicate IATACode P418 FINISHED
Object AMB
AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
 E196930 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: AMB | Statement: [RAAF Base Amberley, IATACode, AMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMB
Context triple: [RAAF Base Amberley, IATACode, AMB]
  • A. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • B. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • C. AMB Sports & Entertainment
    AMB Sports & Entertainment is a sports and entertainment management company that owns and operates major Atlanta-based franchises and venues, including professional football and soccer teams.
  • D. ATMB
    ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
  • E. AM
    AM is the two-letter IATA airline designator used to identify Aeroméxico in global aviation systems.
  • 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: AMB
Triple: [RAAF Base Amberley, IATACode, AMB]
Generated description
AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMB
Target entity description: AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • A. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • B. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • C. AMB Sports & Entertainment
    AMB Sports & Entertainment is a sports and entertainment management company that owns and operates major Atlanta-based franchises and venues, including professional football and soccer teams.
  • D. ATMB
    ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
  • E. AM
    AM is the two-letter IATA airline designator used to identify Aeroméxico in global aviation systems.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6411cc788190a052b029dbffa7ca completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e40cb88190953c639ee2464a54 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2fb9481909d9ed587921ca6b6 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada4e28830819082ed7facee14587f completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:31 p.m.