Triple

T2552876
Position Surface form Disambiguated ID Type / Status
Subject American Economic Review E56665 entity
Predicate hasAbbreviation P43 FINISHED
Object AER
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
 E276883 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: AER | Statement: [American Economic Review, hasAbbreviation, AER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AER
Context triple: [American Economic Review, hasAbbreviation, AER]
  • A. Aero
    Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
  • B. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • D. AET
    AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
  • E. AEARU
    AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
  • 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: AER
Triple: [American Economic Review, hasAbbreviation, AER]
Generated description
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AER
Target entity description: AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • A. Aero
    Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
  • B. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • D. AET
    AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
  • E. AEARU
    AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
  • 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_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.
NEDg Description generation batch_69af5e0b40e0819098b6cbe31152a18c completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.