Triple

T6015989
Position Surface form Disambiguated ID Type / Status
Subject Muskö E133949 entity
Predicate hasRoadLink P11435 FINISHED
Object Muskö Tunnel E561236 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: Muskö Tunnel | Statement: [Muskö, hasRoadLink, Muskö Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskö Tunnel
Context triple: [Muskö, hasRoadLink, Muskö Tunnel]
  • A. Muskö Tunnel chosen
    Muskö Tunnel is a Swedish underwater road tunnel connecting the island of Muskö to the mainland, notable for serving the strategic Muskö naval base.
  • 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. Maastunnel
    Maastunnel is a historic traffic tunnel in Rotterdam, the Netherlands, carrying road, bicycle, and pedestrian traffic beneath the Nieuwe Maas river.
  • D. Tromsøysund Tunnel
    Tromsøysund Tunnel is an undersea road tunnel in northern Norway that connects the island city of Tromsø to the mainland.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f82dd688190ad8882d8fb547cb5 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136a4720819092bf2c6a9101c71b completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:06 p.m.