Triple

T16549582
Position Surface form Disambiguated ID Type / Status
Subject Sørreisa E402033 entity
Predicate hasSettlement P1068 FINISHED
Object Tømmervik
Tømmervik is a small settlement located within the municipality of Sørreisa in Troms og Finnmark county, northern Norway.
E1315631 NE FINISHED

How this triple was built (4 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: Tømmervik | Statement: [Sørreisa, hasSettlement, Tømmervik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tømmervik
Context triple: [Sørreisa, hasSettlement, Tømmervik]
  • A. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • B. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • C. Bjerkvik
    Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
  • D. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • E. Kalvåg
    Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tømmervik
Triple: [Sørreisa, hasSettlement, Tømmervik]
Generated description
Tømmervik is a small settlement located within the municipality of Sørreisa in Troms og Finnmark county, northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tømmervik
Target entity description: Tømmervik is a small settlement located within the municipality of Sørreisa in Troms og Finnmark county, northern Norway.
  • A. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • B. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • C. Bjerkvik
    Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
  • D. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • E. Kalvåg
    Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
  • F. None of above. chosen

Provenance (5 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc323a88190b5c2a34de0a3c7f0 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3daaa6c819093420d0a4dc97a5a completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b5109b108190a3dea7e6f44a060f completed May 12, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03b65c8d5c819080b8b6b95aea8a35 completed May 12, 2026, 11:23 p.m.
Created at: April 10, 2026, 5:15 a.m.