Triple

T1873536
Position Surface form Disambiguated ID Type / Status
Subject Surah Luqman E39086 entity
Predicate mentionsKnowledgeKnownOnlyToAllah P33397 FINISHED
Object knowledge of the Hour 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: knowledge of the Hour | Statement: [Surah Luqman, mentionsKnowledgeKnownOnlyToAllah, knowledge of the Hour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mentionsKnowledgeKnownOnlyToAllah
Context triple: [Surah Luqman, mentionsKnowledgeKnownOnlyToAllah, knowledge of the Hour]
  • A. knownInIslamAs
    Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
  • B. regardsAsOnlyProphetAfterMoses
    Indicates that one entity considers another entity to be the sole legitimate prophet following Moses.
  • C. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • D. regardsAsFinalProphet
    Indicates that one entity believes or treats another entity as the ultimate and last prophet, after whom no further prophets will come.
  • E. usedInReligiousTextsOf
    Indicates that something (such as a concept, term, or symbol) appears within and is employed in the religious texts associated with a particular religion or tradition.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
PD Predicate disambiguation batch_69abafe2b56c81909e13d543982e6e13 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb0f630e881908cd9491aeaeb4aed completed March 7, 2026, 5 a.m.
Created at: March 4, 2026, 7:34 p.m.