Triple

T15302568
Position Surface form Disambiguated ID Type / Status
Subject Kvam E365823 entity
Predicate hasLake P1025 FINISHED
Object Movatnet
Movatnet is a lake located in the municipality of Kvam in Vestland county, western Norway.
E1147728 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: Movatnet | Statement: [Kvam, hasLake, Movatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Movatnet
Context triple: [Kvam, hasLake, Movatnet]
  • A. Follebu
    Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
  • B. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • C. Sunnegga
    Sunnegga is a popular alpine viewpoint and family-friendly ski and hiking area above Zermatt in the Swiss Alps, offering panoramic views of the Matterhorn.
  • D. Rapadalen
    Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
  • E. Namdalseid
    Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
  • 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: Movatnet
Triple: [Kvam, hasLake, Movatnet]
Generated description
Movatnet is a lake located in the municipality of Kvam in Vestland county, western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Movatnet
Target entity description: Movatnet is a lake located in the municipality of Kvam in Vestland county, western Norway.
  • A. Follebu
    Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
  • B. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • C. Sunnegga
    Sunnegga is a popular alpine viewpoint and family-friendly ski and hiking area above Zermatt in the Swiss Alps, offering panoramic views of the Matterhorn.
  • D. Rapadalen
    Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
  • E. Namdalseid
    Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef86b8cc81909969098b1766f6b7 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69feeff83f3c8190b9ae0f7ce724b3e2 completed May 9, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_69fef0825e7c8190bb74e2e3de202883 completed May 9, 2026, 8:29 a.m.
Created at: April 10, 2026, 3:15 a.m.