Triple
T32663543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Амгунь |
E835092
|
entity |
| Predicate | направлениеТеченияВВерхнемТечении |
P75396
|
FINISHED |
| Object | северо-западное |
—
|
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: северо-западное | Statement: [Амгунь, направлениеТеченияВВерхнемТечении, северо-западное]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: направлениеТеченияВВерхнемТечении Context triple: [Амгунь, направлениеТеченияВВерхнемТечении, северо-западное]
-
A.
waterwayDirection
chosen
Indicates the directional flow or orientation of a waterway relative to a reference point or path.
-
B.
upstreamRiver
Indicates that one river is located or flows in an upstream direction relative to another river within the same watercourse system.
-
C.
knownAsInUpperCourse
Indicates that a river or watercourse is referred to by a particular name specifically along its upper course or upstream section.
-
D.
situatedUpstreamOf
Indicates that one entity is located in the direction from which a flow (such as water, traffic, or a process stream) originates relative to another entity along the same path or system.
-
E.
drainageDirection
Indicates the direction in which water or other fluids flow or are drained away from a given point 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7a66d3881908f5aec4ccd11d60d |
completed | May 3, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:08 a.m.