Triple

T15397092
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Turin Metro) E368203 entity
Predicate transportNetwork P12181 FINISHED
Object Turin Metro system 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 system | Statement: [Line 2 (Turin Metro), transportNetwork, Turin Metro system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turin Metro system
Context triple: [Line 2 (Turin Metro), transportNetwork, Turin Metro system]
  • A. Turin Metro chosen
    The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
  • B. Brescia Metro
    Brescia Metro is a fully automated light metro system serving the city of Brescia in northern Italy.
  • C. Turin public transport network
    The Turin public transport network is the integrated system of buses, trams, and metro services that provides urban and suburban mobility throughout the city of Turin and its surrounding areas.
  • D. Milan Metro
    The Milan Metro is the rapid transit system serving Milan, Italy, forming the backbone of the city’s public transportation network with multiple underground lines connecting central and suburban areas.
  • E. Rome Metro network
    The Rome Metro network is the rapid transit system serving Italy’s capital, consisting of multiple underground and suburban rail lines that connect central Rome with its surrounding districts and transport hubs.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8c5d40819086622b70edcb6294 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f2754648190bfd0bd15f20b40d2 completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 3:19 a.m.