Triple

T7962860
Position Surface form Disambiguated ID Type / Status
Subject Zaria, Kaduna State, Nigeria E184916 entity
Predicate hasNotableArea P494 FINISHED
Object Tudun Wada E328707 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: Tudun Wada | Statement: [Zaria, Kaduna State, Nigeria, hasNotableArea, Tudun Wada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tudun Wada
Context triple: [Zaria, Kaduna State, Nigeria, hasNotableArea, Tudun Wada]
  • A. Tudun Wada chosen
    Tudun Wada is a district within the city of Zaria in Kaduna State, northern Nigeria.
  • B. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. Weda-Sawai
    Weda-Sawai is an Austronesian language variety spoken in parts of eastern Indonesia, closely related to or considered a form of the Sawai language.
  • E. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • 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.