Triple

T1432607
Position Surface form Disambiguated ID Type / Status
Subject Gaustad E30482 entity
Predicate servedByLine P1293 FINISHED
Object Oslo Tramway E23420 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: Oslo Tramway | Statement: [Gaustad, servedByLine, Oslo Tramway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Tramway
Context triple: [Gaustad, servedByLine, 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 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.
  • C. 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.
  • D. Drammen Line
    The Drammen Line is a major Norwegian railway route connecting Oslo with the city of Drammen and serving as an important commuter and intercity corridor in the Oslo region.
  • E. Gardermoen Line
    The Gardermoen Line is a high-speed railway in Norway that connects Oslo with Oslo Airport and further north, serving as a key part of the country’s intercity and airport rail network.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ddbe208190a68cb000a6970d17 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016e25808190880a6e637dd2590a completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.