Triple

T3964306
Position Surface form Disambiguated ID Type / Status
Subject Ash'ari E85977 entity
Predicate viewOnInterpretation P53637 FINISHED
Object allows figurative interpretation (ta'wil) of ambiguous texts 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: allows figurative interpretation (ta'wil) of ambiguous texts | Statement: [Ash'ari, viewOnInterpretation, allows figurative interpretation (ta'wil) of ambiguous texts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnInterpretation
Context triple: [Ash'ari, viewOnInterpretation, allows figurative interpretation (ta'wil) of ambiguous texts]
  • A. viewOnInterest
    Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
  • B. viewOnObject
    Indicates that one entity directs its visual attention toward or observes another entity as an object of viewing.
  • C. viewOver
    Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
  • D. viewOnReason
    Indicates that one entity holds or expresses a particular opinion, stance, or perspective about a specified reason or justification.
  • E. viewOnObjects
    Indicates a relationship where an entity directs its view or visual attention toward one or more objects.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefba878a48190a2e234d775215938 completed March 9, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69aef8efcf3c81908ccf61d9ce26b0c0 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefba6b9848190a7b0fb66100a2a0c completed March 9, 2026, 4:56 p.m.
Created at: March 9, 2026, 3:31 p.m.