Triple

T4688558
Position Surface form Disambiguated ID Type / Status
Subject SL E103978 entity
Predicate operates P24 FINISHED
Object Stockholm metro E78001 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: Stockholm metro | Statement: [SL, operates, Stockholm metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stockholm metro
Context triple: [SL, operates, Stockholm metro]
  • A. Stockholm metro chosen
    The Stockholm metro is the rapid transit system serving Sweden's capital, renowned for its extensive network and art-adorned stations often called the world's longest art gallery.
  • B. Stockholm tramways
    Stockholm tramways is the city’s network of tram and light rail lines that complements the metro and buses in serving urban and suburban areas of Stockholm.
  • C. Stockholm commuter rail
    Stockholm commuter rail is a regional rail network serving the greater Stockholm area, connecting the city with its suburbs and surrounding municipalities.
  • D. Helsinki Metro
    The Helsinki Metro is the rapid transit system serving Finland’s capital region, known as the world’s northernmost metro network and a key part of the city’s public transportation.
  • E. Copenhagen Metro
    Copenhagen Metro is a rapid transit system in Copenhagen, Denmark, known for its driverless trains, frequent service, and extensive underground and elevated lines connecting key parts of the city and suburbs.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b75e3481908aa27eeaeec490ca completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.