Triple
T21654706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Moossee |
E534427
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Münchenbuchsee |
—
|
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: Münchenbuchsee | Statement: [Lake Moossee, locatedNear, Münchenbuchsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Münchenbuchsee Context triple: [Lake Moossee, locatedNear, Münchenbuchsee]
-
A.
Münchenbuchsee
chosen
Münchenbuchsee is a municipality in the canton of Bern, Switzerland, known as the birthplace of the influential modernist painter Paul Klee.
-
B.
Herzogenbuchsee
Herzogenbuchsee is a municipality in the canton of Bern in Switzerland, known as a regional center in the Oberaargau area.
-
C.
Gerzensee
Gerzensee is a small municipality in the canton of Bern, Switzerland, known for its scenic lake and rural alpine surroundings.
-
D.
Sihlsee
Sihlsee is an artificial lake in the Swiss canton of Schwyz, created by damming the Sihl River and used primarily for hydroelectric power generation and recreation.
-
E.
Schliersee
Schliersee is a picturesque lake and town in the Bavarian Alps of southern Germany, known for its scenic mountain setting and outdoor recreation.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59176b28819092384fc5f8968022 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.