Triple

T29483600
Position Surface form Disambiguated ID Type / Status
Subject سورة الصافات E747858 entity
Predicate تذكر قصة P84401 FINISHED
Object إبراهيم عليه السلام
إبراهيم عليه السلام هو نبيٌ ورسولٌ من أولي العزم في الإسلام، يُعدّ أبا الأنبياء وقد اشتهر بالتوحيد الخالص وابتلائه بذبح ابنه وبناء الكعبة مع ابنه إسماعيل عليهم السلام.
E1874081 NE 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: إبراهيم عليه السلام | Statement: [سورة الصافات, تذكر قصة, إبراهيم عليه السلام]
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: إبراهيم عليه السلام
Triple: [سورة الصافات, تذكر قصة, إبراهيم عليه السلام]
Generated description
إبراهيم عليه السلام هو نبيٌ ورسولٌ من أولي العزم في الإسلام، يُعدّ أبا الأنبياء وقد اشتهر بالتوحيد الخالص وابتلائه بذبح ابنه وبناء الكعبة مع ابنه إسماعيل عليهم السلام.

Provenance (5 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_69f0bd43ba30819095eb1cfc3adf525c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66bdbc7e88190a5fe93938d0cdc7c completed May 2, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d520db88190975712c883a2c515 completed June 8, 2026, 2:47 a.m.
NEDg Description generation batch_6a26317def3881908eb2e11b7754e1ac completed June 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2635aebca08190bedcd6f2c3e9d58c completed June 8, 2026, 3:23 a.m.
Created at: April 28, 2026, 4:06 p.m.