Triple

T3515789
Position Surface form Disambiguated ID Type / Status
Subject Turin Metro E74302 entity
Predicate ItalianName P17612 FINISHED
Object Metropolitana di Torino 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: Metropolitana di Torino | Statement: [Turin Metro, ItalianName, Metropolitana di Torino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitana di Torino
Context triple: [Turin Metro, ItalianName, Metropolitana di Torino]
  • A. Turin Metro chosen
    The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
  • B. Tramvia Metropolità S.A.
    Tramvia Metropolità S.A. is the company responsible for managing and operating parts of the modern tram network serving the Barcelona metropolitan area.
  • C. Torino Porta Nuova
    Torino Porta Nuova is the main railway station in Turin, Italy, serving as a major national and international transport hub.
  • D. Urban Rail Transport S.A.
    Urban Rail Transport S.A. is the public company responsible for operating and managing urban rail systems in Athens, Greece, including metro and tram services.
  • E. Rete Ferroviaria Italiana
    Rete Ferroviaria Italiana is Italy’s state-owned rail infrastructure manager responsible for the operation, maintenance, and development of the national railway network.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc30362c81908ca7497a6a935cc6 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7a5ab08190971c9dfd6550eb2d completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.