Triple

T37742971
Position Surface form Disambiguated ID Type / Status
Subject Zabban E940767 entity
Predicate hasReadingTradition P60420 FINISHED
Object Qirāʾat Abu Amr
Qirāʾat Abu Amr is one of the canonical Qur’anic recitation traditions, attributed to the early Basran scholar Abu Amr ibn al-‘Ala’.
 E2241073 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: Qirāʾat Abu Amr | Statement: [Zabban, hasReadingTradition, Qirāʾat Abu Amr]
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: Qirāʾat Abu Amr
Triple: [Zabban, hasReadingTradition, Qirāʾat Abu Amr]
Generated description
Qirāʾat Abu Amr is one of the canonical Qur’anic recitation traditions, attributed to the early Basran scholar Abu Amr ibn al-‘Ala’.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasReadingTradition
Context triple: [Zabban, hasReadingTradition, Qirāʾat Abu Amr]
  • A. readingTradition chosen
    Indicates a relationship where a text, work, or practice is transmitted, interpreted, and maintained through an established history of readings or interpretive practices.
  • B. hasWritingTraditionVia
    Indicates that an entity possesses or participates in a writing tradition by means of, or through the mediation of, another specified entity or method.
  • C. hasIntellectualTradition
    Indicates that an entity is associated with, grounded in, or characterized by a particular established body of intellectual thought, theory, or scholarly tradition.
  • D. hasAncientLiteraryTradition
    Indicates that an entity possesses a long-established, historically significant body of written literature originating in ancient times.
  • E. hasWritingTraditionSince
    Indicates that a writing tradition has been present or established for an entity starting from a specified point in time.
  • F. None of above.

Provenance (6 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_69f76ee0e32c8190b40a3b4cf590337c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40d68b97148190bb8c32ef52c04166 completed June 28, 2026, 8:08 a.m.
NEDg Description generation batch_6a40d91253708190adda9862af4982fc completed June 28, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a40d99432948190b0cae08995c02108 completed June 28, 2026, 8:21 a.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:18 p.m.