Triple

T2552811
Position Surface form Disambiguated ID Type / Status
Subject American Economic Association E56664 entity
Predicate abbreviation P43 FINISHED
Object AEA E56664 NE FINISHED

How this triple was built (2 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: [American Economic Association, abbreviation, AEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEA
Context triple: [American Economic Association, abbreviation, AEA]
  • A. AEA chosen
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • B. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • C. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • D. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30a91348190aea0dbd1efb6f8cc completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d17ecd0819097c6b95307cc7557 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.