Triple
T12517536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stölpchensee |
E299226
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Großer Wannsee (lake) |
E54046
|
NE FINISHED |
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: Großer Wannsee (lake) | Statement: [Stölpchensee, connectedTo, Großer Wannsee (lake)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großer Wannsee (lake) Context triple: [Stölpchensee, connectedTo, Großer Wannsee (lake)]
-
A.
Großer Wannsee lake
chosen
Großer Wannsee lake is a popular recreational lake in southwestern Berlin, known for its beaches, sailing, and proximity to historically significant sites.
-
B.
Wannsee
Wannsee is a lakeside district in southwestern Berlin, Germany, known for its villa colonies, recreational waterfront, and as the site of the infamous 1942 Wannsee Conference.
-
C.
Grunewaldsee
Grunewaldsee is a popular forest lake in Berlin known for its scenic surroundings and dog-friendly bathing areas.
-
D.
Halensee
Halensee is a railway station in Berlin that serves the city's circular Ringbahn line, connecting the Halensee district to the wider urban rail network.
-
E.
Wannsee lakeshore
Wannsee lakeshore is the scenic waterfront area along Berlin’s Wannsee lake, known for its historic villas, recreational beaches, and cultural landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718cd6288190ad080f469f334caf |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.