Triple

T22326890
Position Surface form Disambiguated ID Type / Status
Subject Strømmens Værksted E551923 entity
Predicate notableWork P4 FINISHED
Object Oslo Tram SL79 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 Tram SL79 | Statement: [Strømmens Værksted, notableWork, Oslo Tram SL79]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Tram SL79
Context triple: [Strømmens Værksted, notableWork, Oslo Tram SL79]
  • A. Oslo Tramway
    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. SL79 tram chosen
    The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
  • C. SL95 tram
    The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
  • D. Oslo commuter rail
    Oslo commuter rail is a suburban and regional train network serving the Greater Oslo area, connecting the city with surrounding towns and communities.
  • E. LM-93 tram
    The LM-93 tram is a Russian-built light rail vehicle model commonly used in city tram and metrotram systems such as the Volgograd Metrotram.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157693460819087c165481eb9e128 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.