Triple

T23704689
Position Surface form Disambiguated ID Type / Status
Subject Prophet Sulayman thanks Allah for His favor E585684 entity
Predicate involvesMiracleType P59063 FINISHED
Object understanding the speech of animals 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: understanding the speech of animals | Statement: [Prophet Sulayman thanks Allah for His favor, involvesMiracleType, understanding the speech of animals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesMiracleType
Context triple: [Prophet Sulayman thanks Allah for His favor, involvesMiracleType, understanding the speech of animals]
  • A. miracleType chosen
    Indicates the specific category or kind of miracle associated with an event or entity.
  • B. associatedWithMiracle
    Indicates a relationship in which something is connected to, involved in, or characterized by a miracle.
  • C. miracleOccurs
    Indicates that an event takes place which is perceived as extraordinary, inexplicable by natural or scientific laws, and often attributed to a supernatural or divine cause.
  • D. miracleDescription
    Indicates that a miraculous event or phenomenon is being described or characterized.
  • E. miracleTradition
    Indicates that a miracle is associated with, preserved in, or transmitted through a particular religious or cultural tradition.
  • 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.