Triple

T3309459
Position Surface form Disambiguated ID Type / Status
Subject Katsina State E69533 entity
Predicate hasTown P847 FINISHED
Object Kankia
Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
 E345868 NE FINISHED

How this triple was built (4 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: Kankia | Statement: [Katsina State, hasTown, Kankia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kankia
Context triple: [Katsina State, hasTown, Kankia]
  • A. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • B. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kankia
Triple: [Katsina State, hasTown, Kankia]
Generated description
Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kankia
Target entity description: Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • A. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • B. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • F. None of above. chosen

Provenance (5 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0e9f33c81909cff835a83e0a657 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3edc0c081908a7f5c02fe18584b completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa2ba81c8190bc86a855c59b7c2f completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b303a4cb4481908b56ee60765b5fac completed March 12, 2026, 6:19 p.m.
Created at: March 8, 2026, 3:11 p.m.