Triple

T10403921
Position Surface form Disambiguated ID Type / Status
Subject Barzakh as-Suways E245214 entity
Predicate hasNameInArabic P6450 FINISHED
Object برزخ السويس
برزخ السويس هو الشريط البري الضيق الذي يفصل بين البحرين الأحمر والمتوسط ويربط قارة أفريقيا بآسيا في منطقة قناة السويس بمصر.
 E860922 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: برزخ السويس | Statement: [Barzakh as-Suways, hasNameInArabic, برزخ السويس]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: برزخ السويس
Context triple: [Barzakh as-Suways, hasNameInArabic, برزخ السويس]
  • A. Zahrat El-Ola
    Zahrat El-Ola was a prominent Egyptian film actress known for her roles in classic mid-20th-century Arabic cinema.
  • B. Badawiyya
    Badawiyya is a Sufi order originating in Egypt and associated with the veneration and teachings of the 13th-century mystic Ahmad al-Badawi.
  • C. al-Khayzuran
    Al-Khayzuran was a powerful and influential Abbasid queen and consort who played a major political role during the reigns of her sons, caliphs al-Hadi and Harun al-Rashid.
  • D. Ain Sokhna
    Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
  • E. 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.
  • 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: برزخ السويس
Triple: [Barzakh as-Suways, hasNameInArabic, برزخ السويس]
Generated description
برزخ السويس هو الشريط البري الضيق الذي يفصل بين البحرين الأحمر والمتوسط ويربط قارة أفريقيا بآسيا في منطقة قناة السويس بمصر.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: برزخ السويس
Target entity description: برزخ السويس هو الشريط البري الضيق الذي يفصل بين البحرين الأحمر والمتوسط ويربط قارة أفريقيا بآسيا في منطقة قناة السويس بمصر.
  • A. Zahrat El-Ola
    Zahrat El-Ola was a prominent Egyptian film actress known for her roles in classic mid-20th-century Arabic cinema.
  • B. Badawiyya
    Badawiyya is a Sufi order originating in Egypt and associated with the veneration and teachings of the 13th-century mystic Ahmad al-Badawi.
  • C. al-Khayzuran
    Al-Khayzuran was a powerful and influential Abbasid queen and consort who played a major political role during the reigns of her sons, caliphs al-Hadi and Harun al-Rashid.
  • D. Ain Sokhna
    Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
  • E. 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.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e535d48190b8fc377df543e058 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbdb86788190bb1a8802f713fea2 completed April 9, 2026, 7:19 p.m.
NEDg Description generation batch_69d807606770819096ebb2cb66f8dcc9 completed April 9, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69d81c5513308190b07fdea06d31854f completed April 9, 2026, 9:38 p.m.
Created at: April 6, 2026, 12:08 p.m.