Triple

T15161894
Position Surface form Disambiguated ID Type / Status
Subject Via Roma (Turin) E362237 entity
Predicate near P350 FINISHED
Object Via Po (Turin) E361820 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: Via Po (Turin) | Statement: [Via Roma (Turin), near, Via Po (Turin)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Via Po (Turin)
Context triple: [Via Roma (Turin), near, Via Po (Turin)]
  • A. Via Torino
    Via Torino is a major historic shopping street in central Milan, Italy, known for its mix of medieval churches, including Santa Maria presso San Satiro, and contemporary retail stores.
  • B. Via Po chosen
    Via Po is one of Turin’s main historic streets, running from Piazza Castello toward the River Po and lined with arcades, shops, and cafés.
  • C. Via Roma (Turin)
    Via Roma is one of Turin’s main and most elegant shopping and promenade streets, running through the historic center and lined with arcades, boutiques, and notable buildings.
  • D. Via Frattina
    Via Frattina is a historic, upscale shopping street in central Rome, known for its elegant boutiques and proximity to the Spanish Steps.
  • E. Via Belenzani
    Via Belenzani is one of the main historic streets in Trento, Italy, renowned for its elegant Renaissance palaces and frescoed façades in the city’s old town.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060f2efc8190aa0eb5fb8d4ce085 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd27f2f481909dc26889c973932e completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:08 a.m.