Triple

T10398712
Position Surface form Disambiguated ID Type / Status
Subject Sirdal municipality E245086 entity
Predicate hasLake P1025 FINISHED
Object Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
E863711 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: Lundevatn | Statement: [Sirdal municipality, hasLake, Lundevatn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lundevatn
Context triple: [Sirdal municipality, hasLake, Lundevatn]
  • A. Flåvatn
    Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
  • B. Sirdalsvatnet
    Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
  • C. Sandsvatn
    Sandsvatn is a freshwater lake on the Faroe Islands' island of Sandoy, known for its scenic surroundings and birdlife.
  • D. 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.
  • E. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • 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: Lundevatn
Triple: [Sirdal municipality, hasLake, Lundevatn]
Generated description
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lundevatn
Target entity description: Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
  • A. Flåvatn
    Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
  • B. Sirdalsvatnet
    Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
  • C. Sandsvatn
    Sandsvatn is a freshwater lake on the Faroe Islands' island of Sandoy, known for its scenic surroundings and birdlife.
  • D. 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.
  • E. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d1f2408190beaa8197641c66b4 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e7adc3881909731d5289f370b8b completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d889c45b588190ad103b4bc8cc5fbd completed April 10, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:07 p.m.