Triple

T6584176
Position Surface form Disambiguated ID Type / Status
Subject Susa Valley E159177 entity
Predicate partOf P40 FINISHED
Object Via Francigena route E339653 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 Francigena route | Statement: [Susa Valley, partOf, Via Francigena route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Via Francigena route
Context triple: [Susa Valley, partOf, Via Francigena route]
  • A. Via Francigena chosen
    Via Francigena is an ancient pilgrimage and trade route stretching from Canterbury in England to Rome in Italy, traversing diverse European landscapes and historic towns.
  • B. Via Po
    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 Sacra
    Via Sacra was the main ceremonial street of ancient Rome, running through the Roman Forum and used for triumphal processions and public religious events.
  • D. Via dei Bergamaschi
    Via dei Bergamaschi is a small historic street in central Rome, Italy, located near Piazza Colonna within the city’s monumental core.
  • E. 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.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae938184819088234aad9cc997e1 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d576ab288190ac7e7b58e974697c completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.