Triple

T2355363
Position Surface form Disambiguated ID Type / Status
Subject Surah Qaf E47539 entity
Predicate emphasisDevice P17414 FINISHED
Object oaths by 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: oaths by the Quran | Statement: [Surah Qaf, emphasisDevice, oaths by the Quran]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasisDevice
Context triple: [Surah Qaf, emphasisDevice, oaths by the Quran]
  • A. hasEmphasis chosen
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • B. positionEmphasized
    Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
  • C. closingEmphasis
    Indicates that one entity concludes or reinforces another entity’s point, action, or message with particular stress or importance.
  • D. strategyEmphasis
    Indicates an entity’s primary focus or priority within a broader strategy or plan.
  • E. prominence
    Indicates that an entity stands out in importance, visibility, or influence relative to others within a given 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.