Triple

T8147616
Position Surface form Disambiguated ID Type / Status
Subject Province of Girona E190252 entity
Predicate contains P35 FINISHED
Object Vall de Núria E270101 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: Vall de Núria | Statement: [Province of Girona, contains, Vall de Núria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vall de Núria
Context triple: [Province of Girona, contains, Vall de Núria]
  • A. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • B. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • C. Segarra
    Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
  • 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. Cerdanya valley chosen
    Cerdanya valley is a high Pyrenean valley straddling Spain and France, known for its wide open landscapes, sunny climate, and historic Catalan villages.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447d6b1881908ff3fa25af6b4e80 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.