Triple
T17668184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågå |
E440442
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Vågåvatn |
E1086618
|
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: Vågåvatn | Statement: [Vågå, hasLake, Vågåvatn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vågåvatn Context triple: [Vågå, hasLake, Vågåvatn]
-
A.
Vågåvatn
chosen
Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
-
B.
Sandvinvatnet
Sandvinvatnet is a lake in Ullensvang Municipality in Vestland county, western Norway, known for its scenic fjord-like setting beneath steep mountain slopes.
-
C.
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.
-
D.
Bleikvatnet
Bleikvatnet is a lake located in the municipality of Hemnes in Nordland county, Norway, known for its scenic surroundings and role in local outdoor recreation.
-
E.
Breimsvatnet
Breimsvatnet is a scenic freshwater lake in Gloppen Municipality in Vestland county, western Norway, known for its clear waters and surrounding mountain landscape.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6723d081908eaa57eef6d70bd0 |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f824d1188190a56342faea873f30 |
completed | May 12, 2026, 9:51 a.m. |
Created at: April 10, 2026, 9:58 a.m.