Triple

T18317575
Position Surface form Disambiguated ID Type / Status
Subject Sheikh E438786 entity
Predicate hasRoleInEducation P4140 FINISHED
Object teacher of Islamic sciences 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: teacher of Islamic sciences | Statement: [Sheikh, hasRoleInEducation, teacher of Islamic sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoleInEducation
Context triple: [Sheikh, hasRoleInEducation, teacher of Islamic sciences]
  • A. hasEducationalRole chosen
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • B. hasEducationalStatus
    Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
  • C. hasEducationalProfile
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • D. hasStatusInEducation
    Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
  • E. hasEducationalDesignation
    Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021f5f1081909fd98c8fb786c7ff completed April 19, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69e44fe4ee10819086b4142444fca1f5 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:36 a.m.