Triple
T17457921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Telemark |
E425077
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Siljan |
—
|
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: Siljan | Statement: [Lower Telemark, hasPart, Siljan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siljan Context triple: [Lower Telemark, hasPart, Siljan]
-
A.
Siljan
Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
-
B.
Siljan
chosen
Siljan is a small rural municipality in Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
C.
Siljan Ring
Siljan Ring is a large ancient meteorite impact crater and lake system in central Sweden, known for its distinctive circular landscape and geological significance.
-
D.
Arvidsjaur
Arvidsjaur is a small town in northern Sweden known for its military presence, winter testing facilities, and proximity to Arctic wilderness.
-
E.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
- 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.