Triple

T22514827
Position Surface form Disambiguated ID Type / Status
Subject Piedmont railway network E556613 entity
Predicate connectsCity P4245 FINISHED
Object Pinerolo 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: Pinerolo | Statement: [Piedmont railway network, connectsCity, Pinerolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinerolo
Context triple: [Piedmont railway network, connectsCity, Pinerolo]
  • A. Pinerolo chosen
    Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
  • B. Villafranca Piemonte
    Villafranca Piemonte is a municipality in the Piedmont region of northwestern Italy, historically associated with the House of Savoy.
  • C. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • D. Rivarolo Canavese
    Rivarolo Canavese is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and location in the Canavese area near Turin.
  • E. Avigliana
    Avigliana is a historic town in the Piedmont region of northwestern Italy, located near Turin and known for its medieval architecture and scenic lakes.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2c3098819098a553133cc9515b completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.