Triple
T29924248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iput |
E760033
|
entity |
| Predicate | hasCountryOnBasin |
P411
|
FINISHED |
| Object | Russia |
—
|
NE NERFINISHED |
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: Russia | Statement: [Iput, hasCountryOnBasin, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOnBasin Context triple: [Iput, hasCountryOnBasin, Russia]
-
A.
basinCountry
chosen
Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
-
B.
countryDownstreamBasin
Indicates that one country lies within the downstream portion of a river basin relative to another country or reference point.
-
C.
hasHeadwatersIn
Indicates that the source or origin of a river, stream, or similar watercourse is located within a specified geographic area or feature.
-
D.
hasRiverCounterpart
Indicates that one entity has a corresponding or analogous counterpart in the context of a river.
-
E.
reservoirCountry
Indicates that a country contains or hosts the reservoir associated with the referenced entity.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00b3d2e0c88190a8bf49576e654f64 |
completed | May 10, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_6a00b376f4e48190a6676779fe02ea9f |
completed | May 10, 2026, 4:33 p.m. |
Created at: April 29, 2026, 6:15 p.m.