Triple
T5583784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleksiy |
E146702
|
entity |
| Predicate | equivalentFormLanguageOfAlexey |
P61092
|
FINISHED |
| Object | Russian |
—
|
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: Russian | Statement: [Oleksiy, equivalentFormLanguageOfAlexey, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentFormLanguageOfAlexey Context triple: [Oleksiy, equivalentFormLanguageOfAlexey, Russian]
-
A.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
-
B.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
-
C.
originalFormulationLanguage
chosen
Indicates the language in which something (such as a text, statement, or formulation) was originally created or expressed.
-
D.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
-
E.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02084b5f0819089b62283c57704ec |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.