Triple

T17504756
Position Surface form Disambiguated ID Type / Status
Subject Karmsundet E426283 entity
Predicate hasSettlementOnShore P16159 FINISHED
Object Kopervik 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: Kopervik | Statement: [Karmsundet, hasSettlementOnShore, Kopervik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kopervik
Context triple: [Karmsundet, hasSettlementOnShore, Kopervik]
  • A. Kopervik chosen
    Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
  • B. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • C. Kopsenni
    Kopsenni is the highest peak on the Faroe Islands' main island of Streymoy, known for its rugged terrain and scenic North Atlantic views.
  • D. Noveskey
    Noveskey is a surname most notably associated with American musician and producer Matt Noveskey.
  • E. Bruvik
    Bruvik is a small village in Vestland county, Norway, situated on the island of Osterøy and known for its scenic fjordside setting and historic 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45214d44c8190b1bf04bf24ab8e81 completed April 19, 2026, 3:55 a.m.
Created at: April 10, 2026, 5:48 a.m.