Triple

T6112293
Position Surface form Disambiguated ID Type / Status
Subject Sohag Governorate E136271 entity
Predicate hasSettlement P1068 FINISHED
Object Dar El Salam
Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
E571136 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 El Salam | Statement: [Sohag Governorate, hasSettlement, Dar El Salam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dar El Salam
Context triple: [Sohag Governorate, hasSettlement, Dar El Salam]
  • A. Shubra El Kheima
    Shubra El Kheima is a major industrial and residential city in Egypt that forms part of the northern extent of the Greater Cairo metropolitan area.
  • B. 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.
  • C. El Salam City
    El Salam City is a residential and industrial suburb located on the northeastern outskirts of Greater Cairo in Egypt.
  • D. Kasr Al Ainy
    Kasr Al Ainy is a historic medical campus and hospital complex in Cairo that serves as the main site of Cairo University's Faculty of Medicine.
  • E. Beledweyne
    Beledweyne is a prominent city in central Somalia that serves as a key commercial and administrative center in the Hiran region.
  • 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 El Salam
Triple: [Sohag Governorate, hasSettlement, Dar El Salam]
Generated description
Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dar El Salam
Target entity description: Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
  • A. Shubra El Kheima
    Shubra El Kheima is a major industrial and residential city in Egypt that forms part of the northern extent of the Greater Cairo metropolitan area.
  • B. 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.
  • C. El Salam City
    El Salam City is a residential and industrial suburb located on the northeastern outskirts of Greater Cairo in Egypt.
  • D. Kasr Al Ainy
    Kasr Al Ainy is a historic medical campus and hospital complex in Cairo that serves as the main site of Cairo University's Faculty of Medicine.
  • E. Beledweyne
    Beledweyne is a prominent city in central Somalia that serves as a key commercial and administrative center in the Hiran region.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbde2048190909aa3a8097bcf93 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13598c54c8190b3701de83005875c completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c137d902c08190a857814ff70a82eb completed March 23, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69c1389690e88190b1a9045c3a8fc892 completed March 23, 2026, 12:56 p.m.
Created at: March 22, 2026, 4:13 p.m.