Triple

T7962835
Position Surface form Disambiguated ID Type / Status
Subject Zaria, Kaduna State, Nigeria E184916 entity
Predicate hasCapital P204 FINISHED
Object Zaria (town) 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: Zaria (town) | Statement: [Zaria, Kaduna State, Nigeria, hasCapital, Zaria (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaria (town)
Context triple: [Zaria, Kaduna State, Nigeria, hasCapital, Zaria (town)]
  • A. Zaria
    Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
  • B. Farah city
    Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
  • C. 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.
  • D. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • E. 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.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.