Triple
T17626567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-Bahn station Krumme Lanke |
E429858
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Krumme Lanke lake |
—
|
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: Krumme Lanke lake | Statement: [U-Bahn station Krumme Lanke, near, Krumme Lanke lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krumme Lanke lake Context triple: [U-Bahn station Krumme Lanke, near, Krumme Lanke lake]
-
A.
Krumme Lanke lake
chosen
Krumme Lanke lake is a scenic, curved lake in Berlin’s Grunewald forest, popular for swimming, walking, and recreation.
-
B.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
C.
Gjende lake
Gjende lake is a long, narrow glacial lake in Norway’s Jotunheimen mountains, renowned for its striking turquoise-green water and popular hiking routes along its shores.
-
D.
Hridsko Lake
Hridsko Lake is a scenic mountain lake in the Prokletije range of Montenegro, renowned for its clear waters, surrounding conifer forests, and popularity among hikers and nature lovers.
-
E.
Fennpfuhl lake
Fennpfuhl lake is an urban pond in the Berlin district of Lichtenberg, known for its surrounding park and residential high-rises.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbd122c8190a5db8c0088c81034 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.