Triple

T212755
Position Surface form Disambiguated ID Type / Status
Subject Muhammad E4752 entity
Predicate roleInScripture P2319 FINISHED
Object recipient of the Quran 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: recipient of the Quran | Statement: [Muhammad, roleInScripture, recipient of the Quran]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInScripture
Context triple: [Muhammad, roleInScripture, recipient of the Quran]
  • A. roleInSalvationHistory
    Indicates the specific function or significance an entity has within the overarching narrative or process of salvation history.
  • B. roleInTheology chosen
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • C. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • D. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • E. scriptureFor
    Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c313d108190a65d3e939f961bef completed Feb. 28, 2026, 3:08 a.m.
PD Predicate disambiguation batch_69a25b509400819093a6c1a1bac861e3 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.