Triple
T24339451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Надежда |
E613472
|
entity |
| Predicate | используетсяВСтране |
P715
|
FINISHED |
| Object | Россия |
—
|
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: Россия | Statement: [Надежда, используетсяВСтране, Россия]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: используетсяВСтране Context triple: [Надежда, используетсяВСтране, Россия]
-
A.
usedInCountry
chosen
Indicates that something is utilized, applied, or in operation within the specified country.
-
B.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
C.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
-
D.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
-
E.
usedInConstituentCountry
Indicates that something is utilized or applied within a specific constituent country of a larger sovereign state.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932324e8819082344cf42eddc274 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.