Triple

T17563827
Position Surface form Disambiguated ID Type / Status
Subject Arretium E427757 entity
Predicate connectedBy P37 FINISHED
Object Via Cassia 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: Via Cassia | Statement: [Arretium, connectedBy, Via Cassia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Via Cassia
Context triple: [Arretium, connectedBy, Via Cassia]
  • A. Via Cassia chosen
    Via Cassia was an important ancient Roman road that ran north from Rome through Etruria toward central and northern Italy, facilitating trade, military movement, and regional integration.
  • B. Via Sammartini
    Via Sammartini is a street in Milan, Italy, located near the city’s central railway station and forming part of the surrounding urban road network.
  • C. Via Garibaldi
    Via Garibaldi is a historic street in Rome’s Trastevere district, known for its monumental Baroque architecture and scenic views, including the approach to the Fontana dell’Acqua Paola and the Janiculum Hill.
  • D. Via Garibaldi
    Via Garibaldi is a historic Renaissance street in Genoa, Italy, renowned for its grand palaces and elegant urban design.
  • E. Via Garibaldi
    Via Garibaldi is one of Turin’s main historic pedestrian streets, known for its elegant architecture, shops, and cafés in the city center.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592bde448190bf5ed2340440e2b7 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.