Triple

T3484616
Position Surface form Disambiguated ID Type / Status
Subject Torino Porta Nuova E73576 entity
Predicate publicTransitConnection P1288 FINISHED
Object Turin Metro E74302 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: Turin Metro | Statement: [Torino Porta Nuova, publicTransitConnection, Turin Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turin Metro
Context triple: [Torino Porta Nuova, publicTransitConnection, Turin Metro]
  • A. Turin Metro chosen
    The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
  • B. Milan municipal tramway system
    The Milan municipal tramway system is the extensive urban tram network serving Milan, Italy, known for its historic rolling stock and central role in the city’s public transportation.
  • C. Carmelit underground funicular
    The Carmelit underground funicular is a short, steep underground railway in Haifa, Israel, serving as one of the world’s smallest metro systems and connecting the city’s lower and upper areas.
  • D. Torino Porta Nuova
    Torino Porta Nuova is the main railway station in Turin, Italy, serving as a major national and international transport hub.
  • E. Sofia Metro
    Sofia Metro is the rapid transit system serving Bulgaria’s capital city, providing high-capacity urban rail transport across Sofia and its metropolitan area.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb795db88190805b26d9774fdb73 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b5086081908ee4491860597557 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.