Triple

T2523180
Position Surface form Disambiguated ID Type / Status
Subject Valencia CF E55571 entity
Predicate nickname P55 FINISHED
Object Els Taronges
Els Taronges is a popular nickname for Valencia CF, the Spanish football club based in Valencia.
 E275968 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: Els Taronges | Statement: [Valencia CF, nickname, Els Taronges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Els Taronges
Context triple: [Valencia CF, nickname, Els Taronges]
  • A. Bon Viatge
    Bon Viatge is a tram terminus station on Barcelona’s Trambaix light rail network, serving the Santa Coloma de Cervelló area.
  • B. Glòries
    Glòries is a major square and transport hub in Barcelona, Spain, known for its shopping center, modern architecture, and role as a key interchange point for trams, metro, and buses.
  • C. Los Naranjos
    Los Naranjos is a residential neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • D. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • E. Badalona
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • 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: Els Taronges
Triple: [Valencia CF, nickname, Els Taronges]
Generated description
Els Taronges is a popular nickname for Valencia CF, the Spanish football club based in Valencia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Els Taronges
Target entity description: Els Taronges is a popular nickname for Valencia CF, the Spanish football club based in Valencia.
  • A. Bon Viatge
    Bon Viatge is a tram terminus station on Barcelona’s Trambaix light rail network, serving the Santa Coloma de Cervelló area.
  • B. Glòries
    Glòries is a major square and transport hub in Barcelona, Spain, known for its shopping center, modern architecture, and role as a key interchange point for trams, metro, and buses.
  • C. Los Naranjos
    Los Naranjos is a residential neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • D. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • E. Badalona
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba96a0c819091efd6d4ccf95ea5 completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af508c28f48190afc4aa1bc3c9adf3 completed March 9, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69af5155f85081908dd4a1859d0f7907 completed March 9, 2026, 11:01 p.m.
Created at: March 6, 2026, 9:46 p.m.