Triple

T19213923
Position Surface form Disambiguated ID Type / Status
Subject North West Nigeria E480427 entity
Predicate capitalLikeCity P52233 FINISHED
Object Kano NE NERFINISHED

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: Kano | Statement: [North West Nigeria, capitalLikeCity, Kano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kano
Context triple: [North West Nigeria, capitalLikeCity, Kano]
  • A. Kano
    Kano is a consumer electronics and education-focused technology company known for creating modular, learn-to-code kits and devices such as the Stem Player.
  • B. Kano chosen
    Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
  • C. Kano
    Kano is a long-running Mortal Kombat villain known as a ruthless mercenary and leader of the Black Dragon crime syndicate, often depicted with a cybernetic eye and expertise in knives and dirty fighting tactics.
  • D. Kano
    Kano is a British rapper and actor known as one of the pioneering figures of the UK grime scene.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa38c0e881908e9501ee21d0f266 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.