Triple

T21297405
Position Surface form Disambiguated ID Type / Status
Subject Bologna–Pistoia railway E524959 entity
Predicate passesThrough P225 FINISHED
Object Porretta 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: Porretta Terme | Statement: [Bologna–Pistoia railway, passesThrough, Porretta Terme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porretta Terme
Context triple: [Bologna–Pistoia railway, passesThrough, Porretta Terme]
  • A. Porretta Terme chosen
    Porretta Terme is an Italian spa town in the Apennine mountains of Emilia-Romagna, renowned for its thermal springs and historic wellness tourism.
  • B. 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.
  • C. Fratta Terme
    Fratta Terme is a spa village in the Emilia-Romagna region of Italy, known for its thermal baths and wellness tourism.
  • 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. 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.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.