Triple
T13808217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågå |
E331813
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Vågåvatn
Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
|
E1086618
|
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: Vågåvatn | Statement: [Vågå, hasLake, Vågåvatn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vågåvatn Context triple: [Vågå, hasLake, Vågåvatn]
-
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.
Heddalsvatnet
Heddalsvatnet is a lake in Telemark, Norway, known as part of the Telemark waterway system and surrounded by forested hills and rural landscapes.
-
C.
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.
-
D.
Sirdalsvatnet
Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
-
E.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
- 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: Vågåvatn Triple: [Vågå, hasLake, Vågåvatn]
Generated description
Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vågåvatn Target entity description: Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
-
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.
Heddalsvatnet
Heddalsvatnet is a lake in Telemark, Norway, known as part of the Telemark waterway system and surrounded by forested hills and rural landscapes.
-
C.
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.
-
D.
Sirdalsvatnet
Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
-
E.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192957008190b525778430b56ca0 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd1fb29ef88190bfa15c163ca392ed |
completed | May 7, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2006221081908ab46e1eadb52e3d |
completed | May 7, 2026, 11:28 p.m. |
Created at: April 9, 2026, 10:12 p.m.