Triple

T10804469
Position Surface form Disambiguated ID Type / Status
Subject Garraf E254927 entity
Predicate contains P35 FINISHED
Object Cubelles
Cubelles is a coastal municipality in the province of Barcelona, Catalonia, known for its Mediterranean beaches and residential character.
 E886657 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: Cubelles | Statement: [Garraf, contains, Cubelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cubelles
Context triple: [Garraf, contains, Cubelles]
  • A. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • B. Miqui
    Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
  • C. Centelles
    Centelles is a municipality in the comarca of Osona in Catalonia, Spain, known for its historic center and traditional festivals.
  • D. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • E. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • 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: Cubelles
Triple: [Garraf, contains, Cubelles]
Generated description
Cubelles is a coastal municipality in the province of Barcelona, Catalonia, known for its Mediterranean beaches and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cubelles
Target entity description: Cubelles is a coastal municipality in the province of Barcelona, Catalonia, known for its Mediterranean beaches and residential character.
  • A. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • B. Miqui
    Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
  • C. Centelles
    Centelles is a municipality in the comarca of Osona in Catalonia, Spain, known for its historic center and traditional festivals.
  • D. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • E. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de567a7ea0819088a2fa10f8367d89 completed April 14, 2026, 3 p.m.
NEDg Description generation batch_69de5eaf3cc08190935cb6ddf2020166 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de63a902f4819089845bc6d7469c6b completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:18 p.m.