Triple
T12910514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamienna River |
E308847
|
entity |
| Predicate | environmentalRegion |
P948
|
FINISHED |
| Object | Vistula basin region of Poland |
—
|
LITERAL 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: Vistula basin region of Poland | Statement: [Kamienna River, environmentalRegion, Vistula basin region of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalRegion Context triple: [Kamienna River, environmentalRegion, Vistula basin region of Poland]
-
A.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
B.
climatologicalRegion
Indicates that one entity is a climatological region associated with, or characterizing the climate of, another entity.
-
C.
ecoregion
chosen
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
D.
ecozone
Indicates that two entities stand in a biogeographical relationship where one is an ecological zone (ecozone) that characterizes or contains the other.
-
E.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
- F. None of above.
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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.