Triple

T17550566
Position Surface form Disambiguated ID Type / Status
Subject Montecatini Terme E427449 entity
Predicate twinnedWith P1072 FINISHED
Object Salsomaggiore Terme 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: Salsomaggiore Terme | Statement: [Montecatini Terme, twinnedWith, Salsomaggiore Terme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salsomaggiore Terme
Context triple: [Montecatini Terme, twinnedWith, Salsomaggiore Terme]
  • A. Salsomaggiore Terme chosen
    Salsomaggiore Terme is an Italian spa town renowned for its thermal baths and Art Nouveau architecture, located in the Emilia-Romagna region.
  • B. Bagnacavallo
    Bagnacavallo is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and traditional rural culture.
  • C. Sacile
    Sacile is a historic town in northeastern Italy’s Friuli Venezia Giulia region, known for its picturesque river setting and strategic importance in various military conflicts.
  • D. Porretta Terme
    Porretta Terme is an Italian spa town in the Apennine mountains of Emilia-Romagna, renowned for its thermal springs and historic wellness tourism.
  • E. San Giuliano Terme
    San Giuliano Terme is an Italian town in Tuscany known for its historic thermal baths and proximity to the city of Pisa.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.