Triple

T9219811
Position Surface form Disambiguated ID Type / Status
Subject الجامع الصحيح E221332 entity
Predicate شُرح_بواسطة P3638 FINISHED
Object القسطلاني
القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
 E784845 NE FINISHED

How this triple was built (4 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: القسطلاني | Statement: [الجامع الصحيح, شُرح_بواسطة, القسطلاني]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: القسطلاني
Context triple: [الجامع الصحيح, شُرح_بواسطة, القسطلاني]
  • A. Pardo Villalón
    Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
  • B. Gállego
    The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
  • C. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: القسطلاني
Triple: [الجامع الصحيح, شُرح_بواسطة, القسطلاني]
Generated description
القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: القسطلاني
Target entity description: القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
  • A. Pardo Villalón
    Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
  • B. Gállego
    The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
  • C. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • F. None of above. chosen

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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda74808081908d4bf890759e7120 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662c28648190979cf786fc35ab75 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d06771ba808190a7b10f664425e76e completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d068087ab881908edcfd384a2e3f07 completed April 4, 2026, 1:23 a.m.
Created at: March 30, 2026, 7:28 p.m.