Triple
T14896677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine–Danube watershed |
E359893
|
entity |
| Predicate | drainageDirectionOnDanubeSide |
P8846
|
FINISHED |
| Object | southeast toward Black Sea |
—
|
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: southeast toward Black Sea | Statement: [Rhine–Danube watershed, drainageDirectionOnDanubeSide, southeast toward Black Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageDirectionOnDanubeSide Context triple: [Rhine–Danube watershed, drainageDirectionOnDanubeSide, southeast toward Black Sea]
-
A.
borderingCountryAcrossDanube
Indicates that one country shares a border with another country specifically across the Danube River.
-
B.
drainageDirection
chosen
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
-
C.
waterwayDirection
Indicates the directional flow or orientation of a waterway relative to a reference point or path.
-
D.
tributarySide
Indicates the side (e.g., left or right bank) of a main watercourse on which a tributary joins it.
-
E.
drainageDivideOf
Indicates that one geographic feature functions as the drainage divide (separating water flow into different basins) for another feature or area.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:11 a.m.