Triple

T25493509
Position Surface form Disambiguated ID Type / Status
Subject al-Manār Tafsīr E638894 entity
Predicate intellectualCurrent P7514 FINISHED
Object Salafi reformism 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: Salafi reformism | Statement: [al-Manār Tafsīr, intellectualCurrent, Salafi reformism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intellectualCurrent
Context triple: [al-Manār Tafsīr, intellectualCurrent, Salafi reformism]
  • A. intellectualTrend chosen
    Indicates a relationship where an idea, movement, or way of thinking is recognized as an intellectual trend influencing thought or discourse.
  • B. hasIntellectualFocus
    Indicates that an entity’s primary attention, study, or mental effort is directed toward a particular subject, topic, or area of interest.
  • C. closeIntellectualCompanion
    Indicates a relationship where one entity serves as a trusted, closely engaged partner in intellectual activities, such as thinking, learning, or discussing ideas, with another entity.
  • D. hasIntellectualCenter
    Indicates that an entity serves as the primary location or hub for the intellectual, academic, or scholarly activities of another entity.
  • E. usesIntelligence
    Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
  • 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_69e75dbbd2a88190b70e1e645de14b9a completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f7a80f9c8190a672355c354e25bf completed May 2, 2026, 1:10 p.m.
PD Predicate disambiguation batch_69f480789be08190ab252a6de3797200 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 2:39 p.m.