Triple

T6216490
Position Surface form Disambiguated ID Type / Status
Subject Nationaltheatret station E138999 entity
Predicate railwayLine P848 FINISHED
Object Oslo Tunnel E577053 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 Tunnel | Statement: [Nationaltheatret station, railwayLine, Oslo Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Tunnel
Context triple: [Nationaltheatret station, railwayLine, Oslo Tunnel]
  • A. Oslo Tunnel chosen
    The Oslo Tunnel is a central railway tunnel in Oslo, Norway, that carries most of the city's mainline train traffic between its principal stations.
  • B. Lærdal Tunnel
    The Lærdal Tunnel is a 24.5-kilometer road tunnel in Norway, renowned as one of the world's longest road tunnels and a key link between Oslo and Bergen.
  • C. Tromsøysund Tunnel
    Tromsøysund Tunnel is an undersea road tunnel in northern Norway that connects the island city of Tromsø to the mainland.
  • D. Finnøy Tunnel
    The Finnøy Tunnel is an undersea road tunnel in Norway that connects the island of Finnøy to the mainland road network.
  • E. Bømlafjord Tunnel
    Bømlafjord Tunnel is a subsea road tunnel in Vestland county, Norway, forming part of the fixed link connection between the island municipality of Bømlo and the mainland.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a1eb3881908c7f735cf9c429ce completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243e998e0819090a2162e2a0ab7b9 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:21 p.m.