Triple

T2760283
Position Surface form Disambiguated ID Type / Status
Subject Muhammadu Buhari E61201 entity
Predicate residence P75 FINISHED
Object Daura E294467 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: Daura | Statement: [Muhammadu Buhari, residence, Daura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daura
Context triple: [Muhammadu Buhari, residence, Daura]
  • A. Daura chosen
    Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Bura
    Bura is a strong, cold, and dry northeasterly wind that blows from the interior toward the Adriatic Sea, particularly affecting coastal regions of Croatia and neighboring areas.
  • D. Dumah
    Dumah is a biblical figure known as one of the sons of Ishmael and traditionally associated with an Arabian tribe or region.
  • E. Hadibu
    Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd2281b8819094c22ce5e4753bd3 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6465fd88190bb14a35395efb6c4 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.