Triple

T3165377
Position Surface form Disambiguated ID Type / Status
Subject Katsina Emirate E66198 entity
Predicate foundingCulture P35942 FINISHED
Object Hausa city-state tradition LITERAL 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: Hausa city-state tradition | Statement: [Katsina Emirate, foundingCulture, Hausa city-state tradition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foundingCulture
Context triple: [Katsina Emirate, foundingCulture, Hausa city-state tradition]
  • A. culturalFoundationFor chosen
    Indicates that one entity provides the cultural basis, background, or supporting context that underlies or enables another entity.
  • B. countryOfCult
    Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
  • C. dominantCulture
    Indicates that one culture holds prevailing power, influence, or normative status over others within a given social context.
  • D. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • E. foundingNation
    Indicates that the subject is the nation that originally established, created, or founded the object entity (such as an organization, institution, or state).
  • F. None of above.

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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6424ee48190a29891ffbbc3811d completed March 8, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69ad9dfe0a948190928f2201d671c654 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.