Triple
T37687356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | бассейн Дуная |
E938405
|
entity |
| Predicate | водосборнаяТерритория |
P169707
|
FINISHED |
| Object | Альпы |
—
|
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: Альпы | Statement: [бассейн Дуная, водосборнаяТерритория, Альпы]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: водосборнаяТерритория Context triple: [бассейн Дуная, водосборнаяТерритория, Альпы]
-
A.
drainageTerritory
chosen
Indicates the area from which surface water naturally flows into and is collected by a particular water body or drainage system.
-
B.
collectsSurfaceWaterFrom
Indicates that one entity gathers or receives surface water (such as runoff, streams, or overland flow) originating from another entity.
-
C.
reservoirCatchment
Indicates that one entity is the catchment area that drains water into a specified reservoir.
-
D.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
-
E.
drainageBasin
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.