Triple

T16226263
Position Surface form Disambiguated ID Type / Status
Subject Abemama Atoll Airport E393854 entity
Predicate hasIATACode P2569 FINISHED
Object AEA E1200808 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: [Abemama Atoll Airport, hasIATACode, AEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEA
Context triple: [Abemama Atoll Airport, hasIATACode, 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 the acronym commonly used for the Association of European Airlines, a former trade body representing major European airlines.
  • C. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • D. AEA chosen
    AEA is the IATA airport code for Abemama Atoll Airport in Kiribati.
  • E. AEA
    AEA is the acronym for the Alaska Energy Authority, a state agency that develops, finances, and manages energy projects to provide affordable and reliable power across Alaska.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d25f8bc81909aa59b794a528db2 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed55a7c8190b4bc8bc325a5da5b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.