Triple
T16468191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stryn Municipality |
E399987
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oppstrynsvatn |
E1188230
|
NE FINISHED |
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: Oppstrynsvatn | Statement: [Stryn Municipality, contains, Oppstrynsvatn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oppstrynsvatn Context triple: [Stryn Municipality, contains, Oppstrynsvatn]
-
A.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
-
B.
Møsvatn
Møsvatn is a large mountain lake and reservoir in Telemark, Norway, known for its role in hydroelectric power production and its scenic, high-altitude surroundings.
-
C.
Flåvatn
Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
-
D.
Gróthúsvatn
Gróthúsvatn is a lake located on the island of Sandoy in the Faroe Islands, known for its rugged North Atlantic coastal surroundings.
-
E.
Oppstrynsvatnet
chosen
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 (3 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.