Triple
T17045225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringvassøya |
E413549
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Skogsfjordvatnet |
—
|
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: Skogsfjordvatnet | Statement: [Ringvassøya, hasLake, Skogsfjordvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skogsfjordvatnet Context triple: [Ringvassøya, hasLake, Skogsfjordvatnet]
-
A.
Skogsfjordvatnet
chosen
Skogsfjordvatnet is a large coastal lake on the island of Ringvassøya in Troms, northern Norway, known for its fjord-like shape and scenic Arctic surroundings.
-
B.
Røssvatnet
Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
-
C.
Finsevatnet
Finsevatnet is a high-altitude mountain lake in Ulvik municipality in Vestland county, Norway, known for its proximity to the Hardangerjøkulen glacier and the village of Finse.
-
D.
Bjørnevatn
Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
-
E.
Lundevatnet
Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 10, 2026, 5:33 a.m.