Triple

T23704640
Position Surface form Disambiguated ID Type / Status
Subject Prophet Sulayman smiles at the ant’s words E585683 entity
Predicate supplicationContent P40537 FINISHED
Object asking to be grateful for Allah’s favors 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: asking to be grateful for Allah’s favors | Statement: [Prophet Sulayman smiles at the ant’s words, supplicationContent, asking to be grateful for Allah’s favors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supplicationContent
Context triple: [Prophet Sulayman smiles at the ant’s words, supplicationContent, asking to be grateful for Allah’s favors]
  • A. performedSupplication
    Indicates that one entity directed a humble, earnest request or prayer (a supplication) toward another entity.
  • B. containsSupplicationOf chosen
    Indicates that one entity includes or expresses a plea, request, or supplicatory appeal directed toward another entity.
  • C. prayerForm
    Indicates the specific manner, style, or structure in which a prayer is expressed or performed.
  • D. prayerIntention
    Indicates that one entity directs a prayer or spiritual request specifically on behalf of, or concerning, another entity or situation.
  • E. praysIn
    Indicates that an entity performs the act of praying within or at a particular place or setting.
  • 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_69e24904bd508190abfcb74855de2918 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b685dfc8819081906aceab7b0bdd completed April 29, 2026, 7:43 a.m.
PD Predicate disambiguation batch_69f155d5265881908e43a9696b6a6d0f completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 6:53 p.m.