Triple

T30818334
Position Surface form Disambiguated ID Type / Status
Subject القسطلاني E784845 entity
Predicate العمل_الأشهر P65731 FINISHED
Object إرشاد الساري لشرح صحيح البخاري
إرشاد الساري لشرح صحيح البخاري هو من أشهر شروح صحيح البخاري في التراث الإسلامي، ألّفه الإمام أحمد بن محمد القسطلاني وامتاز بجمعه بين التحقيق الحديثي والشرح اللغوي والفقهي.
 E1932819 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: إرشاد الساري لشرح صحيح البخاري | Statement: [القسطلاني, العمل_الأشهر, إرشاد الساري لشرح صحيح البخاري]
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: إرشاد الساري لشرح صحيح البخاري
Triple: [القسطلاني, العمل_الأشهر, إرشاد الساري لشرح صحيح البخاري]
Generated description
إرشاد الساري لشرح صحيح البخاري هو من أشهر شروح صحيح البخاري في التراث الإسلامي، ألّفه الإمام أحمد بن محمد القسطلاني وامتاز بجمعه بين التحقيق الحديثي والشرح اللغوي والفقهي.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: العمل_الأشهر
Context triple: [القسطلاني, العمل_الأشهر, إرشاد الساري لشرح صحيح البخاري]
  • A. worksFrom
    Indicates that an entity performs its work or duties starting from or based at a specified location or source.
  • B. دوره_في_العمل
    Indicates the role, function, or position an entity holds within a specific job or work context.
  • C. keyWorkOf chosen
    Indicates that the subject is a central, defining, or most important work created by the object (such as an artist, author, or creator).
  • D. workBy
    Indicates that a work (such as a creation, product, or result) is produced, authored, or created by a particular agent or entity.
  • E. workFor
    Indicates that one entity is employed by or performs work under the authority or direction of another 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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6906ad50481909a700664e0b70fb0 completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbe5a41481908df831b3362acac4 completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bca6faf881908b5254e8071d33fe completed June 10, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd2670f08190a759af462117aec1 completed June 10, 2026, 1:25 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:44 p.m.