Triple

T14058006
Position Surface form Disambiguated ID Type / Status
Subject Takrur E338267 entity
Predicate earliestIslamization P97117 FINISHED
Object among earliest in West Africa 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: among earliest in West Africa | Statement: [Takrur, earliestIslamization, among earliest in West Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: earliestIslamization
Context triple: [Takrur, earliestIslamization, among earliest in West Africa]
  • A. preIslamicOccupation
    Indicates the role, job, or position a person held before the advent or adoption of Islam in their context.
  • B. caliphateStartApprox
    Indicates that an entity’s role or status as a caliphate began around an approximate (not exact) starting time.
  • C. caliphateStart
    Indicates the point in time or event at which a particular caliphate begins or is established.
  • D. religionEarlyIslamic chosen
    Indicates that the entity is associated with or practices an early form of Islam, typically from the formative period of the Islamic faith.
  • E. preIslamicPresence
    Indicates the existence or activity of someone or something in a place or context during the period before the advent of Islam.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
PD Predicate disambiguation batch_69de05adef888190b023ab42ef5076b6 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.