Triple
T20367222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nesset |
E496944
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Eikesdalsvatnet
Eikesdalsvatnet is a long, deep fjord lake in Møre og Romsdal county, Norway, known for its dramatic mountain scenery and surrounding waterfalls.
|
E1429838
|
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: Eikesdalsvatnet | Statement: [Nesset, hasLake, Eikesdalsvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eikesdalsvatnet Context triple: [Nesset, hasLake, Eikesdalsvatnet]
-
A.
Rembesdalsvatnet
Rembesdalsvatnet is a mountain lake in Ulvik municipality in Vestland county, western Norway, known for its scenic setting near the Hardangerjøkulen glacier.
-
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.
Landåsvatnet
Landåsvatnet is a lake located in the municipality of Søndre Land in Innlandet county, Norway.
-
D.
Hollandsvatnet
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western Norway.
-
E.
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.
- 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: Eikesdalsvatnet Triple: [Nesset, hasLake, Eikesdalsvatnet]
Generated description
Eikesdalsvatnet is a long, deep fjord lake in Møre og Romsdal county, Norway, known for its dramatic mountain scenery and surrounding waterfalls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eikesdalsvatnet Target entity description: Eikesdalsvatnet is a long, deep fjord lake in Møre og Romsdal county, Norway, known for its dramatic mountain scenery and surrounding waterfalls.
-
A.
Rembesdalsvatnet
Rembesdalsvatnet is a mountain lake in Ulvik municipality in Vestland county, western Norway, known for its scenic setting near the Hardangerjøkulen glacier.
-
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.
Landåsvatnet
Landåsvatnet is a lake located in the municipality of Søndre Land in Innlandet county, Norway.
-
D.
Hollandsvatnet
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western Norway.
-
E.
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.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b0f8e4481908002adb56848e3e6 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088014c30c8190937586dc3f23862e |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08810e37c08190bd7e8b584204064c |
completed | May 16, 2026, 2:37 p.m. |
Created at: April 16, 2026, 11:26 a.m.