Triple

T34013847
Position Surface form Disambiguated ID Type / Status
Subject Tawus ibn Kaysan E872185 entity
Predicate hadithReliability P27934 FINISHED
Object thiqa (trustworthy) 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: thiqa (trustworthy) | Statement: [Tawus ibn Kaysan, hadithReliability, thiqa (trustworthy)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadithReliability
Context triple: [Tawus ibn Kaysan, hadithReliability, thiqa (trustworthy)]
  • A. hadithStatus chosen
    Indicates the classification or evaluation of a hadith’s authenticity or reliability within a given scholarly or doctrinal framework.
  • B. 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).
  • C. sourceOfHadithFor
    Indicates that one entity serves as the originating source or transmitter for a particular hadith associated with another entity.
  • D. hasHadithMerit
    Indicates that there exists supporting or relevant hadith evidence conferring merit, validation, or special status upon the associated entity or action.
  • E. statusInHadith
    Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
  • 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_69f349a08848819084b348d64c1879c3 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:51 a.m.