Triple

T14002031
Position Surface form Disambiguated ID Type / Status
Subject Boknafjorden E336848 entity
Predicate nameMeaning P453 FINISHED
Object Bokna fjord 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: Bokna fjord | Statement: [Boknafjorden, nameMeaning, Bokna fjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokna fjord
Context triple: [Boknafjorden, nameMeaning, Bokna fjord]
  • 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. Båtsfjord
    Båtsfjord is a small fishing town and municipality in northeastern Norway, located on the Barents Sea coast of Finnmark.
  • C. Nachvak Fjord
    Nachvak Fjord is a remote, steep-walled glacial fjord on the northern coast of Labrador in Canada, known for its dramatic Arctic landscapes and rugged wilderness.
  • D. Syltefjord
    Syltefjord is a remote, narrow fjord on Norway’s Varanger Peninsula known for its dramatic coastal scenery and rich birdlife.
  • E. Kvernesfjord
    Kvernesfjord is a scenic fjord in Møre og Romsdal county, Norway, known for its coastal landscapes and proximity to the historic Kvernes Church.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2818ec8190ae926a0ffdeb7bb7 completed May 9, 2026, 3 p.m.
Created at: April 9, 2026, 10:19 p.m.