Triple

T20564700
Position Surface form Disambiguated ID Type / Status
Subject Association of African and Malagasy States E504936 entity
Predicate abbreviation P43 FINISHED
Object AAMS NE NERFINISHED

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: AAMS | Statement: [Association of African and Malagasy States, abbreviation, AAMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAMS
Context triple: [Association of African and Malagasy States, abbreviation, AAMS]
  • A. AAMS chosen
    AAMS is the abbreviation for the Association of African and Malagasy States, a regional organization that promoted political and economic cooperation among its member countries.
  • B. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • C. AMMC
    AMMC is Morocco’s financial markets authority responsible for regulating and supervising the country’s capital markets and securities activities.
  • D. AAMI
    AAMI is an Australian insurance company that provides car, home, and other personal insurance services.
  • E. AAMB
    AAMB is an acronym for the Al-Aqsa Martyrs Brigades, a Palestinian militant organization involved in the Israeli–Palestinian conflict.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a15c988190ba93823df119ca4d completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.