Triple
T17457890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Bandak |
E425076
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Flåvatn |
—
|
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: Flåvatn | Statement: [Lake Bandak, connectedTo, Flåvatn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flåvatn Context triple: [Lake Bandak, connectedTo, Flåvatn]
-
A.
Flåvatn
chosen
Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
-
B.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
-
C.
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.
-
D.
Bjørnevatn
Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
-
E.
Vågåvatn
Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4514385e48190b97a257bb3d07d2d |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.