Triple

T10060411
Position Surface form Disambiguated ID Type / Status
Subject Shehu of Borno E208972 entity
Predicate ceremonialEvents P6084 FINISHED
Object Islamic festivals 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: Islamic festivals | Statement: [Shehu of Borno, ceremonialEvents, Islamic festivals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ceremonialEvents
Context triple: [Shehu of Borno, ceremonialEvents, Islamic festivals]
  • A. ceremonialUse
    Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
  • B. ceremonialFocus
    Indicates that one entity serves as the central object, site, or theme around which a ceremony or ritual is organized or directed.
  • C. ceremonyKnownAs
    Indicates that a particular ceremony is referred to or recognized by a specific name or title.
  • D. ceremonialAssociation chosen
    Indicates a relationship where entities are linked through participation in, role within, or connection to a formal ceremony or ritual event.
  • E. ceremonySignificance
    Indicates the importance, meaning, or role that a particular ceremony holds within a given context or for specific participants.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfd0d23081909510785ef8a186a3 completed April 2, 2026, 2:09 a.m.
PD Predicate disambiguation batch_69cd4b92573481909389bc6148ae7ea8 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 8:57 p.m.