Triple

T14004060
Position Surface form Disambiguated ID Type / Status
Subject Daura Emirate E336900 entity
Predicate associatedWith P37 FINISHED
Object Daura city 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 city | Statement: [Daura Emirate, associatedWith, Daura city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daura city
Context triple: [Daura Emirate, associatedWith, Daura city]
  • A. Badrashin city
    Badrashin city is an urban center in Giza Governorate, Egypt, known for its proximity to several important archaeological and historical sites from ancient Egypt.
  • B. Zaqatala city
    Zaqatala city is an administrative and economic center in northwestern Azerbaijan, known for its multicultural population and proximity to the Caucasus Mountains.
  • C. Farah city
    Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
  • D. Yasmine City
    Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
  • E. 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.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed1d2548190bb46d6b7cba4ffde completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc329891c8190b4dcb9913e235a1c completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.