Triple

T11198181
Position Surface form Disambiguated ID Type / Status
Subject Vives Network E264973 entity
Predicate regionServed P82 FINISHED
Object Franja de Ponent
Franja de Ponent is a Catalan-speaking border area in eastern Aragon, Spain, known for its cultural and linguistic ties to Catalonia.
 E909503 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: Franja de Ponent | Statement: [Vives Network, regionServed, Franja de Ponent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franja de Ponent
Context triple: [Vives Network, regionServed, Franja de Ponent]
  • A. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • B. El Alba
    El Alba is the popular nickname of the Spanish football club Albacete Balompié, which is based in the city of Albacete and traditionally plays in white.
  • C. Fisterra
    Fisterra is a coastal town in Galicia, Spain, famed as a dramatic “end of the world” point on the Atlantic and a traditional extension of the Camino de Santiago pilgrimage.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Redonda
    Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
  • 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: Franja de Ponent
Triple: [Vives Network, regionServed, Franja de Ponent]
Generated description
Franja de Ponent is a Catalan-speaking border area in eastern Aragon, Spain, known for its cultural and linguistic ties to Catalonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franja de Ponent
Target entity description: Franja de Ponent is a Catalan-speaking border area in eastern Aragon, Spain, known for its cultural and linguistic ties to Catalonia.
  • A. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • B. El Alba
    El Alba is the popular nickname of the Spanish football club Albacete Balompié, which is based in the city of Albacete and traditionally plays in white.
  • C. Fisterra
    Fisterra is a coastal town in Galicia, Spain, famed as a dramatic “end of the world” point on the Atlantic and a traditional extension of the Camino de Santiago pilgrimage.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Redonda
    Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4841038e48190bc6efdf91c8a8199 completed April 19, 2026, 7:28 a.m.
NEDg Description generation batch_69e48718731c819084ae4ab94e79ca29 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e487f99abc8190a789286a4fc13eff completed April 19, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:29 p.m.