Triple

T15663465
Position Surface form Disambiguated ID Type / Status
Subject Sogndal E376625 entity
Predicate locatedBy P2409 FINISHED
Object Sognefjorden 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: Sognefjorden | Statement: [Sogndal, locatedBy, Sognefjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sognefjorden
Context triple: [Sogndal, locatedBy, Sognefjorden]
  • 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. Nordfjorden
    Nordfjorden is a major fjord in Vestland county, western Norway, known for its dramatic coastal and mountainous scenery and traditional fishing communities.
  • D. Vindafjorden
    Vindafjorden is a fjord in Rogaland county, Norway, known as one of the main inner branches of the larger Boknafjorden system.
  • E. Oslofjord
    Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
Created at: April 10, 2026, 4:16 a.m.