Triple

T15575130
Position Surface form Disambiguated ID Type / Status
Subject Aurland E374347 entity
Predicate borders P224 FINISHED
Object Ulvik E366898 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: Ulvik | Statement: [Aurland, borders, Ulvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulvik
Context triple: [Aurland, borders, Ulvik]
  • A. Ulvik chosen
    Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
  • B. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • C. Iveland
    Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
  • D. Sennesvik
    Sennesvik is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • E. Ulvila
    Ulvila is a historic town and municipality in western Finland, located in the Satakunta region along the Kokemäki River.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f30e48881908b30a71796fe0d72 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:10 a.m.