Triple

T2814040
Position Surface form Disambiguated ID Type / Status
Subject Surah Al-Munafiqun E54239 entity
Predicate instructsBelieversTo P43768 FINISHED
Object spend in charity before death 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: spend in charity before death | Statement: [Surah Al-Munafiqun, instructsBelieversTo, spend in charity before death]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: instructsBelieversTo
Context triple: [Surah Al-Munafiqun, instructsBelieversTo, spend in charity before death]
  • A. religiousMotivation
    Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
  • B. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • C. religiousMood
    Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
  • D. religiousFunction
    Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
  • E. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ba34c819085a336498fc326b0 completed March 7, 2026, 8:14 a.m.
PD Predicate disambiguation batch_69abdd0740208190911dc9c9546a79ae completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abde0f4c648190b9812e64f30c39da completed March 7, 2026, 8:13 a.m.
Created at: March 6, 2026, 9:59 p.m.