Triple

T21996889
Position Surface form Disambiguated ID Type / Status
Subject INTOSAI E543228 entity
Predicate hasRegionalOrganization P2785 FINISHED
Object AFROSAI 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: AFROSAI | Statement: [INTOSAI, hasRegionalOrganization, AFROSAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFROSAI
Context triple: [INTOSAI, hasRegionalOrganization, AFROSAI]
  • A. AFROSAI chosen
    AFROSAI is the African regional organization that brings together the supreme audit institutions of African countries to promote good governance, accountability, and the exchange of auditing expertise.
  • B. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • C. Aivas
    Aivas is an ancient, highly advanced artificial intelligence from Anne McCaffrey’s Dragonriders of Pern series that helps guide Pern’s inhabitants with its vast stored knowledge.
  • D. Aphro
    Aphro is the commonly used shortened handle of Zaqueri "Aphromoo" Black, a prominent professional League of Legends support player and streamer.
  • E. ASFAR
    ASFAR is a prominent Moroccan football club based in Rabat, known for its strong domestic record and association with the Royal Moroccan Armed Forces.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.