Triple

T2265955
Position Surface form Disambiguated ID Type / Status
Subject Surah Ar-Rahman E50145 entity
Predicate recitationVirtue P37554 FINISHED
Object Frequently recited for reflection on divine mercy 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: Frequently recited for reflection on divine mercy | Statement: [Surah Ar-Rahman, recitationVirtue, Frequently recited for reflection on divine mercy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recitationVirtue
Context triple: [Surah Ar-Rahman, recitationVirtue, Frequently recited for reflection on divine mercy]
  • A. virtue
    Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
  • B. recitationTradition
    Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
  • C. viewsAsVirtue
    Indicates that one entity regards a particular trait, behavior, or quality as a moral virtue.
  • D. moralTheme
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • E. ritualAttitude
    Indicates an entity’s characteristic stance, mindset, or emotional orientation toward a ritual or ritual practice.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc2ea65288190bc8644a07a11dfa9 completed March 7, 2026, 6:17 a.m.
PD Predicate disambiguation batch_69abbdb592588190ac1ef5e8c54575b1 completed March 7, 2026, 5:55 a.m.
PDg Predicate description generation batch_69abc2e97eb0819084acb26cfa4e3946 completed March 7, 2026, 6:17 a.m.
Created at: March 4, 2026, 7:48 p.m.