Triple

T18597026
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Airport E454517 entity
Predicate IATAcode P418 FINISHED
Object AAR
AAR is the three-letter IATA airport code for Aarhus Airport in Denmark.
 E1333004 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: AAR | Statement: [Aarhus Airport, IATAcode, AAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AAR
Context triple: [Aarhus Airport, IATAcode, AAR]
  • A. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • B. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. AARI
    AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
  • E. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • 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: AAR
Triple: [Aarhus Airport, IATAcode, AAR]
Generated description
AAR is the three-letter IATA airport code for Aarhus Airport in Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AAR
Target entity description: AAR is the three-letter IATA airport code for Aarhus Airport in Denmark.
  • A. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • B. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. AARI
    AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
  • E. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037eda788190977fcb50aa4d2357 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504cd76388190b67c78250297573d completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505482c588190952fe07726f64b93 completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:44 a.m.