Triple

T21888683
Position Surface form Disambiguated ID Type / Status
Subject Skillebekk E540479 entity
Predicate publicTransport P1288 FINISHED
Object Oslo Tramway 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: Oslo Tramway | Statement: [Skillebekk, publicTransport, Oslo Tramway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Tramway
Context triple: [Skillebekk, publicTransport, Oslo Tramway]
  • A. Oslo Tramway chosen
    Oslo Tramway is the city’s electric light rail and streetcar network that forms a key part of public transport in Norway’s capital.
  • B. Oslo Tram line 11
    Oslo Tram line 11 is a public tram route in Oslo, Norway, that runs through several city districts including Nordre Aker as part of the city’s urban transit network.
  • C. Oslo Tramway line 18
    Oslo Tramway line 18 is a light rail route in Oslo’s tram network that connects central parts of the city with the southeastern suburb of Ljabru.
  • D. Oslo Tram line 12
    Oslo Tram line 12 is a public tram route in Oslo, Norway, that connects central parts of the city with northern residential districts including Nordre Aker.
  • E. Oslo Metro
    The Oslo Metro is the rapid transit system serving Norway's capital, providing high-frequency urban and suburban rail connections across the Oslo metropolitan area.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ee5f1c8190b8c6c431039eb8c9 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.