Triple

T24644764
Position Surface form Disambiguated ID Type / Status
Subject Ibn Umar E610073 entity
Predicate schoolOfLawInfluence P78579 FINISHED
Object Sunni Islam 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: Sunni Islam | Statement: [Ibn Umar, schoolOfLawInfluence, Sunni Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: schoolOfLawInfluence
Context triple: [Ibn Umar, schoolOfLawInfluence, Sunni Islam]
  • A. schoolOfJurisprudence chosen
    Indicates that one entity is a legal philosophy, doctrine, or interpretive framework to which the other entity (such as a jurist, decision, or institution) adheres or belongs.
  • B. legalDoctrineInfluenced
    Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
  • C. majorSchoolOfLaw
    Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
  • D. associatedSchoolOfLaw
    Indicates a relationship where an entity is connected or linked to a particular school of law, typically as its legal education institution or legal academic affiliation.
  • E. courtInfluence
    Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
  • 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 2:33 a.m.