Triple
T18500959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seeland (Bernese Lakeland) |
E452063
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Bernese Lakeland |
—
|
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: Bernese Lakeland | Statement: [Seeland (Bernese Lakeland), alsoKnownAs, Bernese Lakeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernese Lakeland Context triple: [Seeland (Bernese Lakeland), alsoKnownAs, Bernese Lakeland]
-
A.
Toggenburg
Toggenburg is a mountainous region in the canton of St. Gallen in northeastern Switzerland, known for its alpine landscapes, traditional villages, and outdoor recreation.
-
B.
Seeland (Bernese Lakeland)
chosen
Seeland, also known as the Bernese Lakeland, is a region in western Switzerland characterized by its lakes, fertile plains, and agricultural landscapes, particularly in the canton of Bern.
-
C.
Swiss Cattle Dogs
Swiss Cattle Dogs are a group of robust Swiss working breeds, including the Bernese Mountain Dog and other Sennenhunds, traditionally used for herding cattle and draft work in alpine regions.
-
D.
Berner
A Berner is a resident or native of the Swiss city of Bern.
-
E.
Berner
Berner is an American rapper and entrepreneur known for his prolific collaborations in hip-hop and his influential role in the legal cannabis industry.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.