Triple

T12094608
Position Surface form Disambiguated ID Type / Status
Subject Bertinoro E288038 entity
Predicate locatedNear P294 FINISHED
Object Cesena E258600 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: Cesena | Statement: [Bertinoro, locatedNear, Cesena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cesena
Context triple: [Bertinoro, locatedNear, Cesena]
  • A. Cesena chosen
    Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
  • B. Rovigo
    Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
  • C. Schio
    Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
  • D. Osimo
    Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
  • E. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • 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_69f6cbac5b0881908cc98458f1b3004d completed May 3, 2026, 4:14 a.m.
Created at: April 8, 2026, 9:48 p.m.