Triple
T15332175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loen valley |
E366561
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object | Lovatnet |
E366562
|
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: Lovatnet | Statement: [Loen valley, hasWaterBody, Lovatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovatnet Context triple: [Loen valley, hasWaterBody, Lovatnet]
-
A.
Lovatnet
chosen
Lovatnet is a scenic glacial lake in western Norway, renowned for its turquoise waters, dramatic surrounding mountains, and tragic history of devastating rockslide-induced tsunamis.
-
B.
Oldevatnet
Oldevatnet is a scenic glacial lake in the Nordfjord region of Vestland county, western Norway, known for its turquoise waters and surrounding steep mountains.
-
C.
Lundevatnet
Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
-
D.
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.
-
E.
Juklavatnet
Juklavatnet is a lake in western Norway known for its scenic glacial surroundings and mountainous 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56b4c6c881908ac7887a88f80829 |
completed | May 9, 2026, 3:45 p.m. |
Created at: April 10, 2026, 3:17 a.m.