Triple

T7593153
Position Surface form Disambiguated ID Type / Status
Subject صخور الروشة E179789 entity
Predicate locatedIn P40 FINISHED
Object الروشة
الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
 E674692 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: الروشة | Statement: [صخور الروشة, locatedIn, الروشة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: الروشة
Context triple: [صخور الروشة, locatedIn, الروشة]
  • A. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • B. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • C. Muddonna
    Muddonna is the costumed female mascot of the Toledo Mud Hens minor league baseball team, known for entertaining fans at games and team events.
  • D. العوجة
    العوجة هي بلدة عراقية صغيرة قرب مدينة تكريت تشتهر بكونها مسقط رأس الرئيس العراقي الأسبق صدام حسين.
  • E. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • 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: الروشة
Triple: [صخور الروشة, locatedIn, الروشة]
Generated description
الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: الروشة
Target entity description: الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
  • A. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • B. La Rucilla
    La Rucilla is a mountain peak located in Spain’s Cordillera Central range, known for its rugged terrain and scenic hiking routes.
  • C. Muddonna
    Muddonna is the costumed female mascot of the Toledo Mud Hens minor league baseball team, known for entertaining fans at games and team events.
  • D. العوجة
    العوجة هي بلدة عراقية صغيرة قرب مدينة تكريت تشتهر بكونها مسقط رأس الرئيس العراقي الأسبق صدام حسين.
  • E. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86223bfec8190b47f840e39c9a51a completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.