Triple

T13708581
Position Surface form Disambiguated ID Type / Status
Subject Zaria City Walls E328708 entity
Predicate partOf P40 FINISHED
Object ancient city of Zaria E184916 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: ancient city of Zaria | Statement: [Zaria City Walls, partOf, ancient city of Zaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ancient city of Zaria
Context triple: [Zaria City Walls, partOf, ancient city of Zaria]
  • A. City of Aba
    The City of Aba is a major commercial and industrial urban center in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • B. Zaria
    Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
  • C. Sokoto
    Sokoto is a historic city in northwestern Nigeria that served as the capital of the Sokoto Caliphate and remains an important cultural and Islamic scholarly center.
  • D. Zaria, Kaduna State, Nigeria chosen
    Zaria, in Kaduna State, Nigeria, is a historic northern city known as an important center of Hausa culture, Islamic scholarship, and education.
  • E. city of Katsina
    The city of Katsina is a historic urban center in northern Nigeria that serves as a major cultural, commercial, and Islamic scholarly hub in the region.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad18d48c8190a26be865c31975d6 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945d6b9481909cc627883dd24a85 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.