Triple

T24720377
Position Surface form Disambiguated ID Type / Status
Subject الراغب الأصفهاني E612276 entity
Predicate أشهر_الكتب P157689 FINISHED
Object تفصيل النشأتين وتحصيل السعادتين
"تفصيل النشأتين وتحصيل السعادتين" كتاب في التزكية والأخلاق الإسلامية يعالج نشأة الإنسان في الدنيا والآخرة وسبل تحقيق السعادة الروحية والعملية، ويُعد من أبرز مؤلفات الراغب الأصفهاني.
 E1647315 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: تفصيل النشأتين وتحصيل السعادتين | Statement: [الراغب الأصفهاني, أشهر_الكتب, تفصيل النشأتين وتحصيل السعادتين]
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: تفصيل النشأتين وتحصيل السعادتين
Triple: [الراغب الأصفهاني, أشهر_الكتب, تفصيل النشأتين وتحصيل السعادتين]
Generated description
"تفصيل النشأتين وتحصيل السعادتين" كتاب في التزكية والأخلاق الإسلامية يعالج نشأة الإنسان في الدنيا والآخرة وسبل تحقيق السعادة الروحية والعملية، ويُعد من أبرز مؤلفات الراغب الأصفهاني.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: أشهر_الكتب
Context triple: [الراغب الأصفهاني, أشهر_الكتب, تفصيل النشأتين وتحصيل السعادتين]
  • A. bookCategory
    Indicates the classification or genre category to which a given book belongs.
  • B. traditionalBooks
    Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
  • C. book
    Indicates that an agent reserves or schedules a service, event, or resource for future use.
  • D. favoriteBook
    Indicates that one entity is the book that another entity likes best among all books.
  • E. bookMention
    Indicates that one entity (such as a text, person, or source) makes reference to or cites a particular book.
  • F. None of above. chosen

Provenance (7 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_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 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_6a101436b0008190a5e27291df640af5 completed May 22, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
PDg Predicate description generation batch_69f44a3adb7c8190941572f718b3b93c completed May 1, 2026, 6:37 a.m.
Created at: April 18, 2026, 3:40 a.m.