Triple

T25442918
Position Surface form Disambiguated ID Type / Status
Subject Islamization of Anatolia E637552 entity
Predicate hasTemporalCharacter P116906 FINISHED
Object multi-century process 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: multi-century process | Statement: [Islamization of Anatolia, hasTemporalCharacter, multi-century process]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemporalCharacter
Context triple: [Islamization of Anatolia, hasTemporalCharacter, multi-century process]
  • A. hasTemporalAttribute chosen
    Indicates that an entity is associated with a specific temporal property or characteristic, such as time, duration, or period.
  • B. hasTemporalRole
    Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal context.
  • C. hasTemporalUse
    Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
  • D. hasTemporalDefinition
    Indicates that something is associated with a definition or specification that is constrained or characterized by time.
  • E. hasTemporalClassification
    Indicates a relationship where something is assigned or associated with a specific temporal category, period, or time-based classification.
  • 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6430a93a48190854ce71df680b2fa completed May 2, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69f641da05b881909f6283c988639c53 completed May 2, 2026, 6:26 p.m.
Created at: April 21, 2026, 2 p.m.