Triple
T5180003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notodden |
E116895
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Heddalsvatnet |
E502330
|
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: Heddalsvatnet | Statement: [Notodden, locatedOn, Heddalsvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heddalsvatnet Context triple: [Notodden, locatedOn, 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.
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.
Lovatnet
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.
-
D.
Lesjaskogsvatnet
Lesjaskogsvatnet is a high-altitude lake in Lesja, Innlandet county, Norway, notable for lying on a watershed divide and serving as the headwater for two major river systems.
-
E.
Mjøsa Lake
Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f6b98c8190bbc4f123560d32f4 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:45 p.m.