Triple

T7701150
Position Surface form Disambiguated ID Type / Status
Subject Association of European Airlines E174497 entity
Predicate shortName P43 FINISHED
Object AEA
AEA is the acronym commonly used for the Association of European Airlines, a former trade body representing major European airlines.
 E682691 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: AEA | Statement: [Association of European Airlines, shortName, AEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AEA
Context triple: [Association of European Airlines, shortName, AEA]
  • A. AEA
    AEA is the common abbreviation for the Actors' Equity Association, the U.S. labor union representing professional stage actors and stage managers.
  • B. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • C. 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.
  • D. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • E. AE
    AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
  • 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: AEA
Triple: [Association of European Airlines, shortName, AEA]
Generated description
AEA is the acronym commonly used for the Association of European Airlines, a former trade body representing major European airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AEA
Target entity description: AEA is the acronym commonly used for the Association of European Airlines, a former trade body representing major European airlines.
  • A. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • B. AEA
    AEA is the common abbreviation for the Actors' Equity Association, the U.S. labor union representing professional stage actors and stage managers.
  • C. 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.
  • D. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • E. AE
    AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70288d02c819093d6f0e47707d0a3 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acb7d48c81908beceeb817857211 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8ad5ab6e881908a8183b162f81681 completed March 29, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69c8adbfd5fc8190bfe7946ab903f343 completed March 29, 2026, 4:42 a.m.
Created at: March 27, 2026, 4:03 p.m.