Triple

T25861067

Position	Surface form	Disambiguated ID	Type / Status
Subject	الطريقة القادرية	`E651477`	entity
Predicate	تنتسب إلى	`P109922`	FINISHED
Object	مدرسة أهل السنة والجماعة مدرسة أهل السنة والجماعة هي المنهج العقدي والفقهي الإسلامي السني الذي يلتزم بالكتاب والسنة وفهم سلف الأمة، وتنتسب إليه طرق صوفية عديدة منها الطريقة القادرية.	`E1697627`	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: مدرسة أهل السنة والجماعة | Statement: [الطريقة القادرية, تنتسب إلى, مدرسة أهل السنة والجماعة]

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: مدرسة أهل السنة والجماعة
Triple: [الطريقة القادرية, تنتسب إلى, مدرسة أهل السنة والجماعة]

Generated description

مدرسة أهل السنة والجماعة هي المنهج العقدي والفقهي الإسلامي السني الذي يلتزم بالكتاب والسنة وفهم سلف الأمة، وتنتسب إليه طرق صوفية عديدة منها الطريقة القادرية.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: تنتسب إلى
Context triple: [الطريقة القادرية, تنتسب إلى, مدرسة أهل السنة والجماعة]

A. appartientÀ chosen
Indicates that one entity belongs to, is a member of, or is part of another entity.
B. attachedTo
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
C. надлежност
Indicates that one entity belongs to, is under the authority of, or falls within the responsibility or jurisdiction of another entity.
D. canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
E. believedToBelongTo
Indicates that something is thought or assumed, but not definitively known, to be owned by or part of a particular entity.
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_69e7ab3a199c81909227cb964cacfe24`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f6026b467c8190a1f8be336f8679da`	completed	May 2, 2026, 1:55 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10da401af48190840f60f01976704d`	completed	May 22, 2026, 10:35 p.m.
NEDg	Description generation	`batch_6a10de0f6f3c8190b0b146ad514b308c`	completed	May 22, 2026, 10:51 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10deb8376c81908eb946690de355b2`	completed	May 22, 2026, 10:54 p.m.
PD	Predicate disambiguation	`batch_69f4939148dc81908706cec7d85291bc`	completed	May 1, 2026, 11:50 a.m.

Created at: April 22, 2026, 8:05 a.m.