Triple

T12094641
Position Surface form Disambiguated ID Type / Status
Subject Forlì-Cesena E288039 entity
Predicate contains P35 FINISHED
Object Bagno di Romagna E272943 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: Bagno di Romagna | Statement: [Forlì-Cesena, contains, Bagno di Romagna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagno di Romagna
Context triple: [Forlì-Cesena, contains, Bagno di Romagna]
  • A. Bagno di Romagna chosen
    Bagno di Romagna is a town in the Emilia-Romagna region of northern Italy, renowned for its thermal baths, natural parks, and historic medieval center.
  • B. Acquaviva Picena
    Acquaviva Picena is a small historic hilltop town in Italy’s Marche region, known for its medieval fortress and views over the surrounding Piceno countryside.
  • C. Cesenatico
    Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
  • D. Bagni di Vinadio
    Bagni di Vinadio is a historic thermal spa village in the Italian Alps, renowned for its hot springs and mountain scenery.
  • E. Bagnacavallo
    Bagnacavallo is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and traditional rural culture.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6f22cc8190ba12c910c5ef5868 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.