Triple

T9220365
Position Surface form Disambiguated ID Type / Status
Subject Fath al-Bari E221343 entity
Predicate printedBy P7012 FINISHED
Object Dar al-Salam
Dar al-Salam is an Islamic publishing house known for producing and distributing classical and contemporary religious texts.
 E784856 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: Dar al-Salam | Statement: [Fath al-Bari, printedBy, Dar al-Salam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dar al-Salam
Context triple: [Fath al-Bari, printedBy, Dar al-Salam]
  • A. Dar El-Salam
    Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
  • B. Dar El Salam
    Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
  • C. Habash
    Habash is an Arabic surname most notably associated with George Habash, the Palestinian Christian physician and founder of the Popular Front for the Liberation of Palestine.
  • D. Dar al-Sulh
    Dar al-Sulh is a classical Islamic legal concept denoting territories outside direct Muslim rule that maintain peaceful relations with Muslim lands through treaties or truces.
  • E. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • 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: Dar al-Salam
Triple: [Fath al-Bari, printedBy, Dar al-Salam]
Generated description
Dar al-Salam is an Islamic publishing house known for producing and distributing classical and contemporary religious texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dar al-Salam
Target entity description: Dar al-Salam is an Islamic publishing house known for producing and distributing classical and contemporary religious texts.
  • A. Dar El-Salam
    Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
  • B. Dar El Salam
    Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
  • C. Habash
    Habash is an Arabic surname most notably associated with George Habash, the Palestinian Christian physician and founder of the Popular Front for the Liberation of Palestine.
  • D. Dar al-Sulh
    Dar al-Sulh is a classical Islamic legal concept denoting territories outside direct Muslim rule that maintain peaceful relations with Muslim lands through treaties or truces.
  • E. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • 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.