Triple

T33487241
Position Surface form Disambiguated ID Type / Status
Subject Islam in Azerbaijan E857644 entity
Predicate minoritySchoolOfJurisprudence P78579 FINISHED
Object Hanafi 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: Hanafi | Statement: [Islam in Azerbaijan, minoritySchoolOfJurisprudence, Hanafi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minoritySchoolOfJurisprudence
Context triple: [Islam in Azerbaijan, minoritySchoolOfJurisprudence, Hanafi]
  • 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. majorSchoolOfLaw
    Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
  • C. 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.
  • D. primaryJurisprudentialSchool
    Indicates the main school of legal or jurisprudential thought with which an entity is affiliated or that it primarily follows.
  • E. lawSchoolName
    Indicates the name of the law school with which an entity (such as a person or institution) is associated.
  • 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_69f3497547608190a1a0f2365fb713ee completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f8164698819090c1b471f1caa4c6 completed May 3, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69f6f6619404819084662aef1238261c completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:38 a.m.