Triple

T13065582
Position Surface form Disambiguated ID Type / Status
Subject Ryfylke E329313 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Boknafjorden E336848 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: Boknafjorden | Statement: [Ryfylke, hasBodyOfWater, Boknafjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boknafjorden
Context triple: [Ryfylke, hasBodyOfWater, Boknafjorden]
  • A. Boknafjorden chosen
    Boknafjorden is a large fjord in Rogaland county in southwestern Norway, known for its many islands and role as an important maritime route.
  • B. Beisfjorden
    Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
  • C. Bjørnafjorden
    Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
  • D. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • E. Strondafjorden
    Strondafjorden is a prominent lake in the Valdres region of Innlandet county, Norway, known for its scenic mountain surroundings and role in local recreation and tourism.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e26e5d6881908663444bca67b01e completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 8:59 p.m.