Triple

T24720378
Position Surface form Disambiguated ID Type / Status
Subject الراغب الأصفهاني E612276 entity
Predicate أشهر_الكتب P157689 FINISHED
Object محاضرات الأدباء
«محاضرات الأدباء» كتاب أدبي تراثي يجمع أخبارًا ونوادر وحِكمًا ولطائف لغوية وأدبية، ألّفه الراغب الأصفهاني في سياق تهذيب الأخلاق وصقل الذوق البلاغي.
 E1646601 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: محاضرات الأدباء | Statement: [الراغب الأصفهاني, أشهر_الكتب, محاضرات الأدباء]
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: محاضرات الأدباء
Triple: [الراغب الأصفهاني, أشهر_الكتب, محاضرات الأدباء]
Generated description
«محاضرات الأدباء» كتاب أدبي تراثي يجمع أخبارًا ونوادر وحِكمًا ولطائف لغوية وأدبية، ألّفه الراغب الأصفهاني في سياق تهذيب الأخلاق وصقل الذوق البلاغي.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: أشهر_الكتب
Context triple: [الراغب الأصفهاني, أشهر_الكتب, محاضرات الأدباء]
  • A. أشهر_الكتب chosen
    Indicates that the relationship identifies the most famous or well-known books associated with a given entity.
  • B. bookCategory
    Indicates the classification or genre category to which a given book belongs.
  • C. traditionalBooks
    Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
  • D. book
    Indicates that an agent reserves or schedules a service, event, or resource for future use.
  • E. favoriteBook
    Indicates that one entity is the book that another entity likes best among all books.
  • 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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101017caa8819088e8d8e1c4018736 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136d2c448190918a7eeb751a2a84 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10143c5c84819081dd4f953fa9841a completed May 22, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f44d6ef33081908f5d36ba1ae5f473 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 3:40 a.m.