Triple

T30867194
Position Surface form Disambiguated ID Type / Status
Subject Usayd ibn Hudayr E786235 entity
Predicate hadVisionOrEvent P22468 FINISHED
Object Quran recitation accompanied by appearance of lights or angels at night 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: Quran recitation accompanied by appearance of lights or angels at night | Statement: [Usayd ibn Hudayr, hadVisionOrEvent, Quran recitation accompanied by appearance of lights or angels at night]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadVisionOrEvent
Context triple: [Usayd ibn Hudayr, hadVisionOrEvent, Quran recitation accompanied by appearance of lights or angels at night]
  • A. hadEvent chosen
    Indicates that an entity experienced, hosted, or was associated with a specific event at some point in time.
  • B. hasVisionOf
    Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
  • C. containsVisionOf
    Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
  • D. hasSee
    Indicates that one entity has perceived or visually observed another entity.
  • E. hasSight
    Indicates that one entity possesses the ability or capacity to see or visually perceive.
  • 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_69f224b9df2c819086f55f8bcf7f382e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691acf6d481909e6763574daee4cb completed May 3, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:47 p.m.