Triple

T17658070
Position Surface form Disambiguated ID Type / Status
Subject Hurrungane E440175 entity
Predicate nearestSettlement P3883 FINISHED
Object Turtagrø
Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
E1339872 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: Turtagrø | Statement: [Hurrungane, nearestSettlement, Turtagrø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turtagrø
Context triple: [Hurrungane, nearestSettlement, Turtagrø]
  • A. Bøvra
    Bøvra is a river in Lom Municipality in Innlandet county, Norway, known for flowing through a mountainous valley landscape.
  • B. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • C. Brattvåg
    Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
  • D. Røssåga
    Røssåga is a river in Nordland county, Norway, known for flowing through Rana Municipality and being utilized for hydroelectric power production.
  • E. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • 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: Turtagrø
Triple: [Hurrungane, nearestSettlement, Turtagrø]
Generated description
Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turtagrø
Target entity description: Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
  • A. Bøvra
    Bøvra is a river in Lom Municipality in Innlandet county, Norway, known for flowing through a mountainous valley landscape.
  • B. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • C. Brattvåg
    Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
  • D. Røssåga
    Røssåga is a river in Nordland county, Norway, known for flowing through Rana Municipality and being utilized for hydroelectric power production.
  • E. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05323e9c048190af9c15f0a1b2ab74 completed May 14, 2026, 2:23 a.m.
NEDg Description generation batch_6a053402521c8190927afa670fb8e38e completed May 14, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05349009e481909fb757415468aa70 completed May 14, 2026, 2:33 a.m.
Created at: April 10, 2026, 9:33 a.m.