Triple

T8759845
Position Surface form Disambiguated ID Type / Status
Subject Damietta Governorate E208167 entity
Predicate contains P35 FINISHED
Object Faraskur
Faraskur is a city in northern Egypt situated within the Nile Delta region.
 E756250 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: Faraskur | Statement: [Damietta Governorate, contains, Faraskur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faraskur
Context triple: [Damietta Governorate, contains, Faraskur]
  • A. Aezani
    Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
  • B. Nobadia
    Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
  • C. Wadska
    Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
  • D. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • E. Turania
    Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
  • 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: Faraskur
Triple: [Damietta Governorate, contains, Faraskur]
Generated description
Faraskur is a city in northern Egypt situated within the Nile Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faraskur
Target entity description: Faraskur is a city in northern Egypt situated within the Nile Delta region.
  • A. Aezani
    Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
  • B. Nobadia
    Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
  • C. Wadska
    Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
  • D. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • E. Turania
    Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf519175248190b53c8958cfeeebfa completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf52f0886881909ceb9fbe54f84d11 completed April 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf53bc19fc81908f43c3fa29bae021 completed April 3, 2026, 5:44 a.m.
Created at: March 30, 2026, 6:40 p.m.