Triple
T18078789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Søndre Land |
E432628
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Landåsvatnet
Landåsvatnet is a lake located in the municipality of Søndre Land in Innlandet county, Norway.
|
E1305543
|
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: Landåsvatnet | Statement: [Søndre Land, hasLake, Landåsvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landåsvatnet Context triple: [Søndre Land, hasLake, Landåsvatnet]
-
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.
Bjørnevatn
Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
-
D.
Sandvinvatnet
Sandvinvatnet is a lake in Ullensvang Municipality in Vestland county, western Norway, known for its scenic fjord-like setting beneath steep mountain slopes.
-
E.
Hollandsvatnet
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western 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: Landåsvatnet Triple: [Søndre Land, hasLake, Landåsvatnet]
Generated description
Landåsvatnet is a lake located in the municipality of Søndre Land in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landåsvatnet Target entity description: Landåsvatnet is a lake located in the municipality of Søndre Land in Innlandet county, 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.
Bjørnevatn
Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
-
D.
Sandvinvatnet
Sandvinvatnet is a lake in Ullensvang Municipality in Vestland county, western Norway, known for its scenic fjord-like setting beneath steep mountain slopes.
-
E.
Hollandsvatnet
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western 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_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_6a035d8a792c8190ab53ce52026de495 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036083e0f88190b7065f5de80f259e |
completed | May 12, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0360ec1c908190a99080990793e519 |
completed | May 12, 2026, 5:18 p.m. |
Created at: April 10, 2026, 10:27 a.m.