Triple

T31467531
Position Surface form Disambiguated ID Type / Status
Subject Umm Ḥabība E802755 entity
Predicate hadithNarrationsAttributed P26535 FINISHED
Object several hadiths in major Sunni collections 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: several hadiths in major Sunni collections | Statement: [Umm Ḥabība, hadithNarrationsAttributed, several hadiths in major Sunni collections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadithNarrationsAttributed
Context triple: [Umm Ḥabība, hadithNarrationsAttributed, several hadiths in major Sunni collections]
  • A. hadithsNarrated chosen
    Indicates that one entity (typically a person) has narrated, transmitted, or reported the hadiths associated with another entity (such as a collection, text, or individual hadith).
  • B. narratedHadith
    Indicates that one entity transmitted or reported a hadith (a prophetic narration) from or about another entity.
  • C. hadithNarrationsCountApprox
    Indicates an approximate number of hadith narrations associated with an entity.
  • D. hadithCollections
    Indicates a relationship where one entity is a collection that contains, organizes, or compiles hadiths (reports of the sayings, actions, or approvals of the Prophet).
  • E. describedInHadithAs
    Indicates that something is mentioned, characterized, or narrated within a hadith text.
  • 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_69f348c84c1c81908739f100ecf7394e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6df450014819099d118e5c2d697fa completed May 3, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
Created at: April 30, 2026, 9:24 p.m.