Triple

T14502250
Position Surface form Disambiguated ID Type / Status
Subject Rafah (Egypt) E340170 entity
Predicate hasNameInArabic P6450 FINISHED
Object رفح
رفح هي مدينة حدودية تقع في أقصى شمال شبه جزيرة سيناء وتعد نقطة عبور رئيسية بين مصر وقطاع غزة.
 E1102619 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: رفح | Statement: [Rafah (Egypt), hasNameInArabic, رفح]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: رفح
Context triple: [Rafah (Egypt), hasNameInArabic, رفح]
  • A. Kalba
    Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
  • B. נמל יפו
    נמל יפו הוא נמל עתיק בחופה של יפו, הנחשב לאחד מהנמלים העתיקים בעולם ומשמש כיום מרכז תיירות, תרבות ובילוי.
  • C. Eilat
    Eilat is Israel’s southernmost city and a major Red Sea resort and port known for its beaches, coral reefs, and tourism.
  • D. Ramla Bay
    Ramla Bay is a renowned red-sand beach on the island of Gozo in Malta, celebrated for its natural beauty and historical significance.
  • E. Ras Al Khair
    Ras Al Khair is an industrial city on Saudi Arabia’s eastern coast, known for its major mining, minerals processing, and maritime industries.
  • 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: رفح
Triple: [Rafah (Egypt), hasNameInArabic, رفح]
Generated description
رفح هي مدينة حدودية تقع في أقصى شمال شبه جزيرة سيناء وتعد نقطة عبور رئيسية بين مصر وقطاع غزة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: رفح
Target entity description: رفح هي مدينة حدودية تقع في أقصى شمال شبه جزيرة سيناء وتعد نقطة عبور رئيسية بين مصر وقطاع غزة.
  • A. Kalba
    Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
  • B. נמל יפו
    נמל יפו הוא נמל עתיק בחופה של יפו, הנחשב לאחד מהנמלים העתיקים בעולם ומשמש כיום מרכז תיירות, תרבות ובילוי.
  • C. Eilat
    Eilat is Israel’s southernmost city and a major Red Sea resort and port known for its beaches, coral reefs, and tourism.
  • D. Ramla Bay
    Ramla Bay is a renowned red-sand beach on the island of Gozo in Malta, celebrated for its natural beauty and historical significance.
  • E. Ras Al Khair
    Ras Al Khair is an industrial city on Saudi Arabia’s eastern coast, known for its major mining, minerals processing, and maritime industries.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 10, 2026, 1:21 a.m.