Triple

T15693667
Position Surface form Disambiguated ID Type / Status
Subject Moster E380399 entity
Predicate hasTransportConnection P845 FINISHED
Object Bømlafjord Tunnel E380397 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: Bømlafjord Tunnel | Statement: [Moster, hasTransportConnection, Bømlafjord Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bømlafjord Tunnel
Context triple: [Moster, hasTransportConnection, Bømlafjord Tunnel]
  • A. Bømlafjord Tunnel chosen
    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.
  • B. Byfjord Tunnel
    The Byfjord Tunnel is an undersea road tunnel in Rogaland county, Norway, forming part of the main highway connection between the city of Stavanger and the island municipality of Rennesøy.
  • 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. Honningsvåg Tunnel
    Honningsvåg Tunnel is a road tunnel in northern Norway that carries traffic along the E69 highway toward the North Cape.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87631854819084c20a335119dfcc completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:44 a.m.