Triple

T13432124
Position Surface form Disambiguated ID Type / Status
Subject Al-Mudawwana al-Kubra E313637 entity
Predicate legalStatusInSchool P109901 FINISHED
Object foundational reference for the Maliki school 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: foundational reference for the Maliki school | Statement: [Al-Mudawwana al-Kubra, legalStatusInSchool, foundational reference for the Maliki school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInSchool
Context triple: [Al-Mudawwana al-Kubra, legalStatusInSchool, foundational reference for the Maliki school]
  • A. schoolStatus
    Indicates the current educational situation or enrollment condition of an entity in relation to a school.
  • B. hasStatusInEducation
    Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
  • C. hasEducationalStatus
    Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
  • D. juridicalSchoolStatus
    Indicates the legal or institutional status assigned to a school within a given jurisdiction or educational system.
  • E. academicStatus
    Indicates the educational or scholarly standing or level an entity holds within an academic context.
  • F. None of above. chosen

Provenance (4 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69d9a03926188190ab3948d1f5d3941f completed April 11, 2026, 1:13 a.m.
PDg Predicate description generation batch_69dadcce5a808190847f2a7833b67a5a completed April 11, 2026, 11:44 p.m.
Created at: April 9, 2026, 9:40 p.m.