Triple

T12000873
Position Surface form Disambiguated ID Type / Status
Subject Montélimar E285655 entity
Predicate twinning P102611 FINISHED
Object Mollet del Vallès E881439 NE FINISHED

How this triple was built (2 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: Mollet del Vallès | Statement: [Montélimar, twinning, Mollet del Vallès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mollet del Vallès
Context triple: [Montélimar, twinning, Mollet del Vallès]
  • A. Mollet del Vallès chosen
    Mollet del Vallès is a municipality in Catalonia, Spain, situated within the greater Barcelona metropolitan area and known for its residential character and local industry.
  • B. Badia del Vallès
    Badia del Vallès is a small, densely populated municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its largely residential character and proximity to Barcelona.
  • C. Parets del Vallès
    Parets del Vallès is a municipality in the province of Barcelona, Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • D. Sant Boi de Llobregat
    Sant Boi de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for its residential character, historical sites, and integration into the region’s public transport network.
  • E. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4729eb4a081909d93b3fc74509d86 completed May 1, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:46 p.m.