Triple

T8443086
Position Surface form Disambiguated ID Type / Status
Subject Benina E199595 entity
Predicate hasNameInArabic P6450 FINISHED
Object بنينة
بنينة هي مدينة صغيرة تقع في شرق ليبيا وتشتهر بوجود مطار بنينة الدولي الذي يخدم مدينة بنغازي والمناطق المجاورة.
 E734447 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: بنينة | Statement: [Benina, hasNameInArabic, بنينة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: بنينة
Context triple: [Benina, hasNameInArabic, بنينة]
  • A. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • B. Bukh
    Bukh is the traditional national style of Mongolian wrestling, known for its strength-focused grappling and deep cultural significance in Mongolia.
  • C. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • D. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • E. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • 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: بنينة
Triple: [Benina, hasNameInArabic, بنينة]
Generated description
بنينة هي مدينة صغيرة تقع في شرق ليبيا وتشتهر بوجود مطار بنينة الدولي الذي يخدم مدينة بنغازي والمناطق المجاورة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: بنينة
Target entity description: بنينة هي مدينة صغيرة تقع في شرق ليبيا وتشتهر بوجود مطار بنينة الدولي الذي يخدم مدينة بنغازي والمناطق المجاورة.
  • A. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • B. Bukh
    Bukh is the traditional national style of Mongolian wrestling, known for its strength-focused grappling and deep cultural significance in Mongolia.
  • C. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • D. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • E. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe310d8e08190b871bda79acde678 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1da3a99481909c9beae665bb5b83 completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1fdb77248190aa7d9f2c39446e62 completed April 2, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce207100548190b80fc1ca6d5b4cda completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:08 p.m.