Triple
T2422748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olt River |
E53453
|
entity |
| Predicate | drainsIntoSeaVia |
P1569
|
FINISHED |
| Object | Black Sea through the Danube |
—
|
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: Black Sea through the Danube | Statement: [Olt River, drainsIntoSeaVia, Black Sea through the Danube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainsIntoSeaVia Context triple: [Olt River, drainsIntoSeaVia, Black Sea through the Danube]
-
A.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
-
B.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
C.
distributaryOf
Indicates that one watercourse branches off from a main river or stream and carries its water away, rather than feeding into it.
-
D.
oceanDrainageBasin
chosen
Indicates the ocean into which a river system or drainage basin ultimately discharges its water.
-
E.
mouthOfWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water or another watercourse.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.