Triple

T12974255
Position Surface form Disambiguated ID Type / Status
Subject Folkestad, Norway E321479 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Dalsfjorden E1012332 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: Dalsfjorden | Statement: [Folkestad, Norway, hasBodyOfWater, Dalsfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalsfjorden
Context triple: [Folkestad, Norway, hasBodyOfWater, Dalsfjorden]
  • A. Dalsfjorden chosen
    Dalsfjorden is a fjord in western Norway known for its steep surrounding mountains, deep waters, and small coastal settlements.
  • B. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • C. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • D. Bjørnafjorden
    Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
  • E. 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.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f702fc8190936a7dd292a675f8 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:37 p.m.