Triple

T21947604
Position Surface form Disambiguated ID Type / Status
Subject Great Spa Towns of Europe E541973 entity
Predicate hasPart P35 FINISHED
Object Montecatini 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: Montecatini Terme | Statement: [Great Spa Towns of Europe, hasPart, Montecatini Terme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montecatini Terme
Context triple: [Great Spa Towns of Europe, hasPart, Montecatini Terme]
  • A. Montecatini Terme chosen
    Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
  • B. Gambassi Terme
    Gambassi Terme is a Tuscan town in central Italy known for its thermal baths, medieval heritage, and location along historic pilgrimage routes such as the Via Francigena.
  • C. Montegrotto Terme
    Montegrotto Terme is a spa town in northern Italy known for its thermal baths and archaeological remains from the ancient Venetic and Roman periods.
  • D. Caramanico Terme
    Caramanico Terme is an Italian spa town in the Abruzzo region, renowned for its thermal baths and location within the Majella National Park.
  • E. 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.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243a2f788190bd4625fa79888696 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.