Triple

T2210709
Position Surface form Disambiguated ID Type / Status
Subject Augusta State Airport E50910 entity
Predicate IATAcode P418 FINISHED
Object AUG
AUG is the IATA airport code for Augusta State Airport in Augusta, Maine, United States.
 E245607 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: AUG | Statement: [Augusta State Airport, IATAcode, AUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUG
Context triple: [Augusta State Airport, IATAcode, AUG]
  • A. AUGM
    AUGM is a regional network of public universities from South America that promotes academic cooperation, research collaboration, and integration among its member institutions.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • D. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • E. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • 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: AUG
Triple: [Augusta State Airport, IATAcode, AUG]
Generated description
AUG is the IATA airport code for Augusta State Airport in Augusta, Maine, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUG
Target entity description: AUG is the IATA airport code for Augusta State Airport in Augusta, Maine, United States.
  • A. AUGM
    AUGM is a regional network of public universities from South America that promotes academic cooperation, research collaboration, and integration among its member institutions.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • D. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • E. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfeb889081908cddf58a57b216df completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655045d081909b8294ec706e0814 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae662f689881908ecd76952b78f863 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae668ef8bc819085ed1c83f447d396 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.