Triple

T8147591
Position Surface form Disambiguated ID Type / Status
Subject Province of Girona E190252 entity
Predicate contains P35 FINISHED
Object Gironès E315236 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: Gironès | Statement: [Province of Girona, contains, Gironès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gironès
Context triple: [Province of Girona, contains, Gironès]
  • A. Gironès chosen
    Gironès is a comarca (county) in the province of Girona, Catalonia, known for encompassing the city of Girona and its surrounding municipalities.
  • B. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • C. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • D. Noguera Ribagorçana
    Noguera Ribagorçana is a river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
  • E. 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.
  • 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_69cc94b667d88190a0b47c7e0e07f338 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:36 p.m.