Triple

T34863122
Position Surface form Disambiguated ID Type / Status
Subject Mahdi E1004933 entity
Predicate hasDoctrinalVariationsBetween P7124 FINISHED
Object Sunni and Shia interpretations 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: Sunni and Shia interpretations | Statement: [Mahdi, hasDoctrinalVariationsBetween, Sunni and Shia interpretations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDoctrinalVariationsBetween
Context triple: [Mahdi, hasDoctrinalVariationsBetween, Sunni and Shia interpretations]
  • A. hasDoctrinalDifferencesIn
    Indicates that there are differences in doctrine or beliefs between entities within a specified domain or context.
  • B. hasDenominationalVariation chosen
    Indicates that there are differing forms, practices, or interpretations of something across distinct denominations or sects.
  • C. hasDoctrinalStandardInPart
    Indicates that one entity possesses or upholds a specific doctrinal standard within a particular section or component of itself.
  • D. isBiblicalVariantOf
    Indicates that one textual form or reading is a variant version of another within the biblical textual tradition.
  • E. hasDoctrinalCharacteristic
    Indicates that an entity possesses a specific doctrinal feature, quality, or attribute within a belief or teaching system.
  • 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7bbf906d8819099020e548dd56bc9 completed May 3, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f7b9a2dcf88190a7c9e109e41267be completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4 p.m.