Triple

T33325771
Position Surface form Disambiguated ID Type / Status
Subject Kufa school of Quranic recitation E853258 entity
Predicate producedCanonicalReading P196511 FINISHED
Object Qira’at of Asim
The Qira’at of Asim is one of the most widely accepted canonical methods of Quranic recitation, best known today through the popular Hafs narration used across much of the Muslim world.
 E2045091 NE FINISHED

How this triple was built (3 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: Qira’at of Asim | Statement: [Kufa school of Quranic recitation, producedCanonicalReading, Qira’at of Asim]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Qira’at of Asim
Triple: [Kufa school of Quranic recitation, producedCanonicalReading, Qira’at of Asim]
Generated description
The Qira’at of Asim is one of the most widely accepted canonical methods of Quranic recitation, best known today through the popular Hafs narration used across much of the Muslim world.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: producedCanonicalReading
Context triple: [Kufa school of Quranic recitation, producedCanonicalReading, Qira’at of Asim]
  • A. canonicalReading
    Indicates that one representation of a text or expression is the standard or authoritative version used for reading or interpretation of another.
  • B. hasCanonicalWritings
    Indicates that an entity is associated with a recognized, authoritative set of writings considered standard or canonical for it.
  • C. canonicalText
    Indicates that a standardized, authoritative textual representation is associated with an entity or expression.
  • D. hasKanjiReading
    Indicates that a written kanji character is associated with a specific reading or pronunciation.
  • E. hasMandarinReading
    Indicates that an entity is associated with a specific reading or pronunciation in Mandarin Chinese.
  • F. None of above. chosen

Provenance (7 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_69f349685f088190b8fda44083a018a9 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe59d11e9881909d2f33b7c717030e completed May 8, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a354335bd5c8190aea1f2dfab89e76c completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a3543e43dc8819091abfb05f7e4d523 completed June 19, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a354505ffd481908b3bc40d99401aa0 completed June 19, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69fe394fdfbc8190a931926ae3635cbf completed May 8, 2026, 7:28 p.m.
PDg Predicate description generation batch_69fe59d03a648190bbe846cb5730a477 completed May 8, 2026, 9:46 p.m.
Created at: May 1, 2026, 1:33 a.m.