Triple
T17816489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grunewaldsee |
E444856
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Grunewaldsee (German) |
—
|
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: Grunewaldsee (German) | Statement: [Grunewaldsee, hasNameInLanguage, Grunewaldsee (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grunewaldsee (German) Context triple: [Grunewaldsee, hasNameInLanguage, Grunewaldsee (German)]
-
A.
Grunewaldsee
chosen
Grunewaldsee is a popular forest lake in Berlin known for its scenic surroundings and dog-friendly bathing areas.
-
B.
Egelsee
Egelsee is a locality within the Austrian city of Krems an der Donau, known for its residential character and proximity to the Wachau cultural landscape.
-
C.
Grüntensee
Grüntensee is a scenic lake in the Ostallgäu region of Bavaria, Germany, popular for recreation and surrounded by Alpine landscapes.
-
D.
Ziegelsee
Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
-
E.
Pilsensee
Pilsensee is a small scenic lake in Bavaria, Germany, known for its clear waters, recreational opportunities, and location within the popular Five Lakes Region near Munich.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887f7d048190b6d813b9f0fab3e7 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.