Triple
T18078788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Søndre Land |
E432628
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Trevatn
Trevatn is a lake in Søndre Land municipality in Innlandet county, Norway, known for its forested surroundings and recreational opportunities.
|
E1303513
|
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: Trevatn | Statement: [Søndre Land, hasLake, Trevatn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trevatn Context triple: [Søndre Land, hasLake, Trevatn]
-
A.
Juklavatnet
Juklavatnet is a lake in western Norway known for its scenic glacial surroundings and mountainous landscape.
-
B.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
-
C.
Bjørnevatn
Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
-
D.
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.
-
E.
Vågåvatn
Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
- 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: Trevatn Triple: [Søndre Land, hasLake, Trevatn]
Generated description
Trevatn is a lake in Søndre Land municipality in Innlandet county, Norway, known for its forested surroundings and recreational opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trevatn Target entity description: Trevatn is a lake in Søndre Land municipality in Innlandet county, Norway, known for its forested surroundings and recreational opportunities.
-
A.
Juklavatnet
Juklavatnet is a lake in western Norway known for its scenic glacial surroundings and mountainous landscape.
-
B.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
-
C.
Bjørnevatn
Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
-
D.
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.
-
E.
Vågåvatn
Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f6a85481909894c39c8be98d5d |
completed | April 19, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03567c2ad4819093ae01a4faff71a4 |
completed | May 12, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_6a035755e4008190ac7bb3a958ff3776 |
completed | May 12, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0357ce74088190a6a343cb0c76dce4 |
completed | May 12, 2026, 4:39 p.m. |
Created at: April 10, 2026, 10:27 a.m.