Triple

T5840611
Position Surface form Disambiguated ID Type / Status
Subject SL79 tram E129582 entity
Predicate operator P179 FINISHED
Object Sporveien Trikken E132683 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: Sporveien Trikken | Statement: [SL79 tram, operator, Sporveien Trikken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sporveien Trikken
Context triple: [SL79 tram, operator, Sporveien Trikken]
  • A. Sporveien
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • B. Sporveien Trikken AS chosen
    Sporveien Trikken AS is the company responsible for running Oslo’s tram services as part of the city’s public transport system.
  • C. Trikken i Oslo
    Trikken i Oslo is the electric tram system that forms a key part of the public transport network in Norway’s capital, Oslo.
  • D. Bybanen
    Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
  • E. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d6f09c81908dfb3c2c51a2f5a9 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.