Triple

T10769188
Position Surface form Disambiguated ID Type / Status
Subject Vallès Oriental E254029 entity
Predicate contains P35 FINISHED
Object Cànoves i Samalús
Cànoves i Samalús is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its rural character and proximity to the Montseny Natural Park.
 E884781 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: Cànoves i Samalús | Statement: [Vallès Oriental, contains, Cànoves i Samalús]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cànoves i Samalús
Context triple: [Vallès Oriental, contains, Cànoves i Samalús]
  • A. Noguès
    Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
  • B. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • C. Rubió
    Rubió is a small municipality located in the Anoia comarca of Catalonia, Spain.
  • D. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • E. Puig
    Puig is a Spanish surname most notably associated with Argentine novelist and screenwriter Manuel Puig, known for works like "Kiss of the Spider Woman."
  • 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: Cànoves i Samalús
Triple: [Vallès Oriental, contains, Cànoves i Samalús]
Generated description
Cànoves i Samalús is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its rural character and proximity to the Montseny Natural Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cànoves i Samalús
Target entity description: Cànoves i Samalús is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its rural character and proximity to the Montseny Natural Park.
  • A. Noguès
    Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
  • B. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • C. Rubió
    Rubió is a small municipality located in the Anoia comarca of Catalonia, Spain.
  • D. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • E. Puig
    Puig is a Spanish surname most notably associated with Argentine novelist and screenwriter Manuel Puig, known for works like "Kiss of the Spider Woman."
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.