Triple
T24778569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Tunguska |
E619927
|
entity |
| Predicate | confluenceWithYenisei |
P2416
|
FINISHED |
| Object | downstream of Turukhansk |
—
|
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: downstream of Turukhansk | Statement: [Lower Tunguska, confluenceWithYenisei, downstream of Turukhansk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confluenceWithYenisei Context triple: [Lower Tunguska, confluenceWithYenisei, downstream of Turukhansk]
-
A.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
B.
isBelievedToBeConfluenceOf
Indicates that something is regarded or considered to be the point where multiple elements, sources, or influences come together.
-
C.
locatedAtConfluenceOf
Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
-
D.
confluenceWith
chosen
Indicates that one entity joins or merges together with another, typically at a shared meeting point.
-
E.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:42 a.m.