Triple

T15606679
Position Surface form Disambiguated ID Type / Status
Subject Figueira da Foz E375175 entity
Predicate twinnedWith P1072 FINISHED
Object San Felíu de Guíxols NE NERFINISHED

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: San Felíu de Guíxols | Statement: [Figueira da Foz, twinnedWith, San Felíu de Guíxols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Felíu de Guíxols
Context triple: [Figueira da Foz, twinnedWith, San Felíu de Guíxols]
  • A. Sant Feliu de Guíxols chosen
    Sant Feliu de Guíxols is a coastal town on Spain’s Costa Brava known for its historic Benedictine monastery, Mediterranean beaches, and tourism.
  • B. Premià de Mar
    Premià de Mar is a coastal town and municipality in the comarca of Maresme in Catalonia, northeastern Spain, known for its Mediterranean beaches and proximity to Barcelona.
  • C. Sant Feliu Sasserra
    Sant Feliu Sasserra is a small rural municipality in the comarca of Bages in central Catalonia, Spain, known for its traditional Catalan character and agricultural surroundings.
  • D. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • E. Salou
    Salou is a popular coastal resort town on Spain’s Costa Daurada, known for its beaches, tourism, and proximity to the PortAventura World theme park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:13 a.m.