Triple

T8462616
Position Surface form Disambiguated ID Type / Status
Subject Asian Universities Alliance E200079 entity
Predicate abbreviation P43 FINISHED
Object AUA
AUA is a regional consortium of leading Asian universities that collaborates to promote academic exchange, research partnerships, and educational cooperation across Asia.
 E736012 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: [Asian Universities Alliance, abbreviation, AUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUA
Context triple: [Asian Universities Alliance, abbreviation, AUA]
  • A. AUA
    AUA is the ICAO airline designator used to identify Austrian Airlines in international aviation operations.
  • B. AUA
    AUA is the three-letter IATA airport code for Queen Beatrix International Airport, the main international gateway to the island of Aruba in the Caribbean.
  • C. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • D. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • E. AAS
    AAS is a leading Australian scientific organization that promotes excellence in science, provides independent advice on scientific issues, and supports science education and public engagement.
  • 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: [Asian Universities Alliance, abbreviation, AUA]
Generated description
AUA is a regional consortium of leading Asian universities that collaborates to promote academic exchange, research partnerships, and educational cooperation across Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUA
Target entity description: AUA is a regional consortium of leading Asian universities that collaborates to promote academic exchange, research partnerships, and educational cooperation across Asia.
  • A. AUA
    AUA is the ICAO airline designator used to identify Austrian Airlines in international aviation operations.
  • B. AUA
    AUA is the three-letter IATA airport code for Queen Beatrix International Airport, the main international gateway to the island of Aruba in the Caribbean.
  • C. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • D. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • E. AAS
    AAS is a leading Australian scientific organization that promotes excellence in science, provides independent advice on scientific issues, and supports science education and public engagement.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a251f08190840a7fc31ff528b5 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39d5f50081908e273d5286a0d397 completed April 2, 2026, 9:41 a.m.
NEDg Description generation batch_69ce3bf7d2748190ad7ca0649fe2cb0f completed April 2, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c8aac8c8190a81c2c51cd0c06e0 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:10 p.m.