Triple
T21362586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubliniec |
E526820
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Silesian forests |
—
|
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: Silesian forests | Statement: [Lubliniec, hasNearbyFeature, Silesian forests]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silesian forests Context triple: [Lubliniec, hasNearbyFeature, Silesian forests]
-
A.
Miłomłyn Forests
Miłomłyn Forests is a woodland area in northern Poland known for its natural landscapes and outdoor recreation opportunities within Ostróda County.
-
B.
Pisz Forest
Pisz Forest is a vast woodland region in northeastern Poland, known for its lakes, diverse wildlife, and popular outdoor recreation opportunities.
-
C.
Sandomierz Forest
Sandomierz Forest is a large historic woodland region in southeastern Poland known for its extensive pine forests, biodiversity, and role as a traditional cultural landscape.
-
D.
Łuków Forest
Łuków Forest is a large forest complex in eastern Poland known for its natural landscapes, biodiversity, and recreational opportunities.
-
E.
Niepołomice Forest
Niepołomice Forest is a large, historically significant woodland in southern Poland known for its rich biodiversity, royal hunting traditions, and extensive network of hiking and cycling trails.
- 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: Silesian forests Target entity description: Silesian forests are an extensive woodland region in southern Poland known for their mixed coniferous and deciduous landscapes, biodiversity, and recreational opportunities.
-
A.
Miłomłyn Forests
Miłomłyn Forests is a woodland area in northern Poland known for its natural landscapes and outdoor recreation opportunities within Ostróda County.
-
B.
Pisz Forest
Pisz Forest is a vast woodland region in northeastern Poland, known for its lakes, diverse wildlife, and popular outdoor recreation opportunities.
-
C.
Sandomierz Forest
Sandomierz Forest is a large historic woodland region in southeastern Poland known for its extensive pine forests, biodiversity, and role as a traditional cultural landscape.
-
D.
Łuków Forest
Łuków Forest is a large forest complex in eastern Poland known for its natural landscapes, biodiversity, and recreational opportunities.
-
E.
Niepołomice Forest
Niepołomice Forest is a large, historically significant woodland in southern Poland known for its rich biodiversity, royal hunting traditions, and extensive network of hiking and cycling trails.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:08 p.m.