Triple

T12276888
Position Surface form Disambiguated ID Type / Status
Subject Hausa city-states E292609 entity
Predicate notableCity P2813 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: [Hausa city-states, notableCity, Daura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daura
Context triple: [Hausa city-states, notableCity, 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. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • C. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • D. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • E. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.