Triple

T19155181
Position Surface form Disambiguated ID Type / Status
Subject Sunni Islam – Shafi'i school E468911 entity
Predicate givesPriorityTo P68004 FINISHED
Object authentic hadith over local practice 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: authentic hadith over local practice | Statement: [Sunni Islam – Shafi'i school, givesPriorityTo, authentic hadith over local practice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesPriorityTo
Context triple: [Sunni Islam – Shafi'i school, givesPriorityTo, authentic hadith over local practice]
  • A. prioritises chosen
    Indicates that one entity gives greater importance, preference, or precedence to another entity or task over alternatives.
  • B. supportsPriority
    Indicates that one entity provides functionality or capability for handling or honoring priority levels associated with another entity or operation.
  • C. identifiesAsPriorityUses
    Indicates that one entity designates or treats another entity as a priority for use or utilization.
  • D. priorityRule
    Indicates that one entity is given precedence or higher processing order over another according to a defined rule or policy.
  • E. planningPriority
    Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb914248190a92dc5f30cbc8fcc completed April 20, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69e4b9b475d88190a8c15e8eb01dbfef completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.