Triple
T20282979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notodden municipality |
E503196
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Heddalsvatnet |
—
|
NE NERFINISHED |
How this triple was built (2 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: Heddalsvatnet | Statement: [Notodden municipality, hasLake, Heddalsvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heddalsvatnet Context triple: [Notodden municipality, hasLake, Heddalsvatnet]
-
A.
Heddalsvatnet
chosen
Heddalsvatnet is a lake in Telemark, Norway, known as part of the Telemark waterway system and surrounded by forested hills and rural landscapes.
-
B.
Rembesdalsvatnet
Rembesdalsvatnet is a mountain lake in Ulvik municipality in Vestland county, western Norway, known for its scenic setting near the Hardangerjøkulen glacier.
-
C.
Sandvinvatnet
Sandvinvatnet is a lake in Ullensvang Municipality in Vestland county, western Norway, known for its scenic fjord-like setting beneath steep mountain slopes.
-
D.
Sirdalsvatnet
Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
-
E.
Oppstrynsvatnet
Oppstrynsvatnet is a scenic glacial lake in Stryn, Vestland county, Norway, known for its turquoise waters and surrounding mountain landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6769049b48190bc449557b79b9e81 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:40 a.m.