Triple

T3018579
Position Surface form Disambiguated ID Type / Status
Subject Emir of Kano E82397 entity
Predicate ceremonialLanguage P2769 FINISHED
Object Hausa 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 | Statement: [Emir of Kano, ceremonialLanguage, Hausa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ceremonialLanguage
Context triple: [Emir of Kano, ceremonialLanguage, Hausa]
  • A. ceremonialUse
    Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
  • B. ceremonialOrigin
    Indicates that something originates from, or is derived through, a formal ceremony or ritual practice.
  • C. ceremonialRole
    Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
  • D. languageOfCeremony chosen
    Indicates the language in which a ceremony is conducted or officially performed.
  • E. ceremonialAssociation
    Indicates a relationship where entities are linked through participation in, role within, or connection to a formal ceremony or ritual event.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a927b608190ba1392498507b237 completed March 8, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69ad961a97188190809dc73430a8eda8 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.