Triple

T23704694
Position Surface form Disambiguated ID Type / Status
Subject Prophet Sulayman thanks Allah for His favor E585684 entity
Predicate preludeMention P831 FINISHED
Object Allah granted knowledge to Dawud and Sulayman 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: Allah granted knowledge to Dawud and Sulayman | Statement: [Prophet Sulayman thanks Allah for His favor, preludeMention, Allah granted knowledge to Dawud and Sulayman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preludeMention
Context triple: [Prophet Sulayman thanks Allah for His favor, preludeMention, Allah granted knowledge to Dawud and Sulayman]
  • A. mentions chosen
    Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
  • B. mentionsSee
    Indicates that one entity explicitly refers to or cites another entity within its content.
  • C. eraMentioned
    Indicates that a specific historical or temporal era is explicitly referenced or mentioned in a given context.
  • D. mentionedWith
    Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
  • E. placeMentioned
    Indicates that a specific place is referenced or mentioned in relation to another entity or context.
  • 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_69e24904bd508190abfcb74855de2918 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b685dfc8819081906aceab7b0bdd completed April 29, 2026, 7:43 a.m.
PD Predicate disambiguation batch_69f155d5265881908e43a9696b6a6d0f completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 6:53 p.m.