Triple

T2498590
Position Surface form Disambiguated ID Type / Status
Subject Austrian Airlines E52408 entity
Predicate ICAOCode P419 FINISHED
Object AUA
AUA is the ICAO airline designator used to identify Austrian Airlines in international aviation operations.
 E273270 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: AUA | Statement: [Austrian Airlines, ICAOCode, AUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUA
Context triple: [Austrian Airlines, ICAOCode, AUA]
  • A. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • B. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • C. AAWU
    AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
  • D. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • E. URA
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • 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: AUA
Triple: [Austrian Airlines, ICAOCode, AUA]
Generated description
AUA is the ICAO airline designator used to identify Austrian Airlines in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUA
Target entity description: AUA is the ICAO airline designator used to identify Austrian Airlines in international aviation operations.
  • A. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • B. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • C. AAWU
    AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
  • D. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • E. URA
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ae9040819091b3ca5b98659e99 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9ed13c81909856db636bfb2e9e completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af23a305a48190b457b1b66779b90d completed March 9, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69af240855848190947190a662745b77 completed March 9, 2026, 7:48 p.m.
Created at: March 6, 2026, 9:46 p.m.