Triple

T20568349
Position Surface form Disambiguated ID Type / Status
Subject Nils Lavik E505023 entity
Predicate placeOfBirth P1 FINISHED
Object Kvinnherad NE NERFINISHED

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: Kvinnherad | Statement: [Nils Lavik, placeOfBirth, Kvinnherad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvinnherad
Context triple: [Nils Lavik, placeOfBirth, Kvinnherad]
  • A. Kvinnherad chosen
    Kvinnherad is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, waterfalls, and proximity to the Hardangerfjord.
  • B. Krødsherad
    Krødsherad is a rural municipality in Buskerud, Norway, known for its scenic landscapes around Lake Krøderen and outdoor recreational opportunities.
  • C. Gröndal
    Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
  • D. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a3fdc08190a34dcf4c4e51f078 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.