Triple

T34455383

Position	Surface form	Disambiguated ID	Type / Status
Subject	المجادلة	`E884489`	entity
Predicate	من أسمائها	`P175901`	FINISHED
Object	سورة قد سمع سورة قد سمع هو اسم آخر لسورة المجادلة، وهي سورة مدنية في القرآن الكريم تعالج قضايا الأسرة والآداب الاجتماعية وأحكام المنافقين.	`E2096368`	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: سورة قد سمع | Statement: [المجادلة, من أسمائها, سورة قد سمع]

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: سورة قد سمع
Triple: [المجادلة, من أسمائها, سورة قد سمع]

Generated description

سورة قد سمع هو اسم آخر لسورة المجادلة، وهي سورة مدنية في القرآن الكريم تعالج قضايا الأسرة والآداب الاجتماعية وأحكام المنافقين.

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

Target predicate: من أسمائها
Context triple: [المجادلة, من أسمائها, سورة قد سمع]

A. البنت
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
B. الاسم الشائع chosen
Indicates that one entity specifies the common or popular name used to refer to another entity.
C. البنات
Indicates a relationship or action involving girls as the primary participants or subjects.
D. سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
E. الاسم عند الكبر
Indicates that an entity’s name or designation applies specifically to it in old age or later life.
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_69f349c607688190b553539d14901a35`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f71976c49c8190943046a0ff8950cb`	completed	May 3, 2026, 9:46 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37184846ec819090822d7e56bbdd18`	completed	June 20, 2026, 10:46 p.m.
NEDg	Description generation	`batch_6a3718c84ee481908c220b2564249159`	completed	June 20, 2026, 10:48 p.m.
NED2	Entity disambiguation (via description)	`batch_6a37195b2b9c8190a70d9deec095f539`	completed	June 20, 2026, 10:51 p.m.
PD	Predicate disambiguation	`batch_69f71824431081908d9685d2462ea242`	completed	May 3, 2026, 9:40 a.m.

Created at: May 1, 2026, 2 a.m.