Triple

T15216874
Position Surface form Disambiguated ID Type / Status
Subject Kaupanger E363658 entity
Predicate locatedAlong P2409 FINISHED
Object inner Sognefjord E74083 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: inner Sognefjord | Statement: [Kaupanger, locatedAlong, inner Sognefjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: inner Sognefjord
Context triple: [Kaupanger, locatedAlong, inner Sognefjord]
  • A. Sognefjord chosen
    Sognefjord is Norway’s longest and deepest fjord, renowned for its dramatic cliffs, glacial landscapes, and scenic coastal villages.
  • B. Strindfjorden
    Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
  • C. Isfjorden
    Isfjorden is a major Arctic fjord on the west coast of Spitsbergen in the Svalbard archipelago, known for its dramatic glacial landscapes and as a key hub for human settlement and wildlife.
  • D. Romsdalsfjorden
    Romsdalsfjorden is a scenic fjord in Møre og Romsdal county, Norway, known for its dramatic landscapes, coastal towns, and role as a key waterway in the Romsdal region.
  • E. Skudenesfjorden
    Skudenesfjorden is a fjord in Rogaland county, southwestern Norway, lying along the coast by the island municipality of Karmøy and opening into the North Sea.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe60d4a08190833397c75b56932c completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 3:11 a.m.