Triple

T26062158
Position Surface form Disambiguated ID Type / Status
Subject Salah E657287 entity
Predicate secondaryScripturalSource P175198 FINISHED
Object Hadith 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: Hadith | Statement: [Salah, secondaryScripturalSource, Hadith]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryScripturalSource
Context triple: [Salah, secondaryScripturalSource, Hadith]
  • A. scripturalSourceType
    Indicates the type or category of source from which a scriptural text or reference is derived.
  • B. scriptureContributedTo
    Indicates that an entity played a role in creating, authoring, or otherwise contributing content to a particular scripture or sacred text.
  • C. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • D. receivedScripture
    Indicates that one entity has been given or accepted a body of sacred or authoritative religious writings from another source.
  • E. oneOfPrimaryScripturesAlongWith
    Indicates that one entity is among the primary scriptures considered together with another entity (or set of entities) as part of a core scriptural group.
  • F. None of above. chosen

Provenance (4 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_69ee5bbd788481909e22bd7153d0c037 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6cee547108190ad3bc84297d8f516 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
PDg Predicate description generation batch_69f6cee3604c81908a07eade2f39064e completed May 3, 2026, 4:28 a.m.
Created at: April 26, 2026, 7:18 p.m.