Triple

T22011205
Position Surface form Disambiguated ID Type / Status
Subject Cremona railway station E543577 entity
Predicate connectsTo P845 FINISHED
Object Fidenza 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: Fidenza | Statement: [Cremona railway station, connectsTo, Fidenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fidenza
Context triple: [Cremona railway station, connectsTo, Fidenza]
  • A. Fidenza chosen
    Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
  • B. Felsina
    Felsina was the Etruscan city that preceded and formed the core of what is now Bologna in northern Italy.
  • C. Ferentino
    Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
  • D. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • E. Roscio
    Roscio is a Venezuelan surname most notably associated with Juan Germán Roscio, a key intellectual and political figure in Venezuela’s independence movement.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.