Triple

T30818785
Position Surface form Disambiguated ID Type / Status
Subject Maliki jurists of al-Andalus E784859 entity
Predicate followedMadhhab P52406 FINISHED
Object Maliki school of law NE NERFINISHED

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: Maliki school of law | Statement: [Maliki jurists of al-Andalus, followedMadhhab, Maliki school of law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followedMadhhab
Context triple: [Maliki jurists of al-Andalus, followedMadhhab, Maliki school of law]
  • A. madhhab chosen
    Indicates the school of thought or legal tradition within a broader religious or jurisprudential system that an entity follows or is associated with.
  • B. madhhabInfluence
    Indicates the degree to which one legal or theological school of thought shapes, guides, or affects the doctrines, practices, or interpretations of another entity.
  • C. تتبع_عقيدة
    Indicates that one entity follows, adheres to, or subscribes to a particular doctrine or creed associated with another entity.
  • D. followsPrayer
    Indicates that one event, action, or state occurs after and as a consequence of a prayer being made.
  • E. followsSurah
    Indicates that one surah directly comes after or is ordered immediately following another surah in a specified sequence.
  • 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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
Created at: April 29, 2026, 8:44 p.m.