Triple

T17092382
Position Surface form Disambiguated ID Type / Status
Subject Oratory of San Satiro E414756 entity
Predicate locatedNear P294 FINISHED
Object Via Torino, Milan E414758 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 Torino, Milan | Statement: [Oratory of San Satiro, locatedNear, Via Torino, Milan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Via Torino, Milan
Context triple: [Oratory of San Satiro, locatedNear, Via Torino, Milan]
  • A. Via Torino chosen
    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. Milano–Torino
    Milano–Torino is a historic one-day professional road cycling race in Italy, regarded as the oldest classic in the sport.
  • C. Turin–Milan
    Turin–Milan is a major Italian motorway corridor linking the cities of Turin and Milan, serving as a key route for regional and national traffic in northern Italy.
  • D. 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.
  • E. Via Garibaldi (Turin)
    Via Garibaldi (Turin) is one of the main historic pedestrian shopping streets in central Turin, lined with shops, cafés, and notable buildings.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfabf548190a0d37bab3d4ef2fa completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.