Triple

T15693535
Position Surface form Disambiguated ID Type / Status
Subject Svortland E380395 entity
Predicate hasLake P1025 FINISHED
Object Hollandsvatnet
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western Norway.
E1193248 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: Hollandsvatnet | Statement: [Svortland, hasLake, Hollandsvatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollandsvatnet
Context triple: [Svortland, hasLake, Hollandsvatnet]
  • A. Vangsvatnet
    Vangsvatnet is a scenic lake in the municipality of Voss in western Norway, known for its surrounding mountains and popularity for outdoor and water sports activities.
  • B. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • C. Røssvatnet
    Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
  • D. Oldevatnet
    Oldevatnet is a scenic glacial lake in the Nordfjord region of Vestland county, western Norway, known for its turquoise waters and surrounding steep mountains.
  • E. Lovatnet
    Lovatnet is a scenic glacial lake in western Norway, renowned for its turquoise waters, dramatic surrounding mountains, and tragic history of devastating rockslide-induced tsunamis.
  • 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: Hollandsvatnet
Triple: [Svortland, hasLake, Hollandsvatnet]
Generated description
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hollandsvatnet
Target entity description: Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western Norway.
  • A. Vangsvatnet
    Vangsvatnet is a scenic lake in the municipality of Voss in western Norway, known for its surrounding mountains and popularity for outdoor and water sports activities.
  • B. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • C. Røssvatnet
    Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
  • D. Oldevatnet
    Oldevatnet is a scenic glacial lake in the Nordfjord region of Vestland county, western Norway, known for its turquoise waters and surrounding steep mountains.
  • E. Lovatnet
    Lovatnet is a scenic glacial lake in western Norway, renowned for its turquoise waters, dramatic surrounding mountains, and tragic history of devastating rockslide-induced tsunamis.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4670e8881908bc9f3879ba208ba completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe692328081908739b446ad4d46bb completed May 10, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69ffe79224bc8190803649e3536afae0 completed May 10, 2026, 2:04 a.m.
Created at: April 10, 2026, 4:44 a.m.