Triple

T2934365
Position Surface form Disambiguated ID Type / Status
Subject Averøya E79229 entity
Predicate hasCoastlineOn P212 FINISHED
Object Kvernesfjorden E311645 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: Kvernesfjorden | Statement: [Averøya, hasCoastlineOn, Kvernesfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvernesfjorden
Context triple: [Averøya, hasCoastlineOn, Kvernesfjorden]
  • A. Beisfjorden
    Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
  • B. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • C. Porsangerfjorden
    Porsangerfjorden is a large Arctic fjord in Troms og Finnmark county, known as one of Norway’s longest fjords and an important area for fishing and coastal Sami culture.
  • D. Tyrifjorden
    Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
  • E. Kornstadfjorden chosen
    Kornstadfjorden is a fjord in Møre og Romsdal county, Norway, known for its coastal landscapes and proximity to the island of Averøya.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983b65f881909b8b7d3dc5c224fd completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc6c2cc08190ab34973c3f33a34d completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:56 p.m.