Triple
T21996262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezirk Cottbus |
E543213
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Forst (Lausitz) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Forst (Lausitz) | Statement: [Bezirk Cottbus, contains, Forst (Lausitz)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forst (Lausitz) Context triple: [Bezirk Cottbus, contains, Forst (Lausitz)]
-
A.
Kottenforst
Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
-
B.
Ebersberger Forst
Ebersberger Forst is a large forested area in Upper Bavaria, Germany, known for its extensive woodland, wildlife, and recreational trails near the town of Ebersberg.
-
C.
Habichtswald
Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
-
D.
Wermsdorf Forest
Wermsdorf Forest is a large woodland area in Saxony, Germany, known for its historic hunting grounds and scenic landscapes.
-
E.
Kammerforst
Kammerforst is a locality in Germany notable as the place where Prince Albert of Prussia died.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forst (Lausitz) Target entity description: Forst (Lausitz) is a town in eastern Germany near the Polish border, known for its textile industry history and extensive rose garden.
-
A.
Kottenforst
Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
-
B.
Ebersberger Forst
Ebersberger Forst is a large forested area in Upper Bavaria, Germany, known for its extensive woodland, wildlife, and recreational trails near the town of Ebersberg.
-
C.
Habichtswald
Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
-
D.
Wermsdorf Forest
Wermsdorf Forest is a large woodland area in Saxony, Germany, known for its historic hunting grounds and scenic landscapes.
-
E.
Kammerforst
Kammerforst is a locality in Germany notable as the place where Prince Albert of Prussia died.
- F. None of above. chosen
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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.