Triple
T17370096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telemark Canal |
E422287
|
entity |
| Predicate | connectsBodyOfWater |
P6307
|
FINISHED |
| Object | Norsjø |
—
|
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: Norsjø | Statement: [Telemark Canal, connectsBodyOfWater, Norsjø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norsjø Context triple: [Telemark Canal, connectsBodyOfWater, Norsjø]
-
A.
Norsjø
chosen
Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
-
B.
Blåsjø
Blåsjø is one of Norway’s largest artificial lakes, created as a major reservoir for hydroelectric power production in the Ryfylke region.
-
C.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
-
D.
Rødenessjøen
Rødenessjøen is a lake in Norway known for its scenic natural surroundings and recreational opportunities such as fishing and boating.
-
E.
Oslofjord
Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.