Triple

T23299697
Position Surface form Disambiguated ID Type / Status
Subject Maumoon Abdul Gayoom E590267 entity
Predicate name P16 FINISHED
Object Maumoon Abdul Gayoom 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: Maumoon Abdul Gayoom | Statement: [Maumoon Abdul Gayoom, name, Maumoon Abdul Gayoom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maumoon Abdul Gayoom
Context triple: [Maumoon Abdul Gayoom, name, Maumoon Abdul Gayoom]
  • A. Maumoon Abdul Gayoom chosen
    Maumoon Abdul Gayoom is a Maldivian politician who served as the long-time president of the Maldives from 1978 to 2008, making him one of Asia’s longest-ruling leaders.
  • B. Abdulla Yameen
    Abdulla Yameen is a Maldivian politician who served as President of the Maldives from 2013 to 2018.
  • C. Ismaïl Omar Guelleh
    Ismaïl Omar Guelleh is a long-serving Djiboutian politician who has led the country since 1999, overseeing its strategic role as a key Red Sea and Horn of Africa hub.
  • D. Hassan Farah
    Hassan Farah is the twin brother of British long-distance running legend and multiple Olympic champion Mo Farah.
  • E. Kais Saied
    Kais Saied is a Tunisian politician and former law professor who became Tunisia’s president in 2019 and has since drawn global attention for consolidating power and reshaping the country’s political system.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d2b5dc819084b4d0290184de62 completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:04 p.m.