Triple
T23205752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tysvær |
E580448
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Storavatnet
Storavatnet is a lake located in the municipality of Tysvær in Rogaland county, western Norway.
|
E1575919
|
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: Storavatnet | Statement: [Tysvær, hasLake, Storavatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storavatnet Context triple: [Tysvær, hasLake, Storavatnet]
-
A.
Storavatnet
Storavatnet is a lake located near the village of Svortland on the island of Bømlo in Vestland county, Norway.
-
B.
Mjøsa Lake
Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
-
C.
Breiddalsvatnet
Breiddalsvatnet is a lake located in Skjåk municipality in Innlandet county, Norway, known for its mountainous surroundings and role in local outdoor recreation.
-
D.
Sørvatnet
Sørvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, Norway.
-
E.
Rembesdalsvatnet
Rembesdalsvatnet is a mountain lake in Ulvik municipality in Vestland county, western Norway, known for its scenic setting near the Hardangerjøkulen glacier.
- 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: Storavatnet Triple: [Tysvær, hasLake, Storavatnet]
Generated description
Storavatnet is a lake located in the municipality of Tysvær in Rogaland county, western Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storavatnet Target entity description: Storavatnet is a lake located in the municipality of Tysvær in Rogaland county, western Norway.
-
A.
Storavatnet
Storavatnet is a lake located near the village of Svortland on the island of Bømlo in Vestland county, Norway.
-
B.
Mjøsa Lake
Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
-
C.
Breiddalsvatnet
Breiddalsvatnet is a lake located in Skjåk municipality in Innlandet county, Norway, known for its mountainous surroundings and role in local outdoor recreation.
-
D.
Sørvatnet
Sørvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, Norway.
-
E.
Rembesdalsvatnet
Rembesdalsvatnet is a mountain lake in Ulvik municipality in Vestland county, western Norway, known for its scenic setting near the Hardangerjøkulen glacier.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907cd62c8190afee1e963b170727 |
completed | April 29, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30c2ac508190ab718e22afde7a73 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c332f5ef08190ab7f6536eb719e04 |
completed | May 19, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c374ded1c8190b1d5c7a3ab521cf9 |
completed | May 19, 2026, 10:11 a.m. |
Created at: April 17, 2026, 4:07 p.m.