Triple
T8393115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Русины |
E197989
|
entity |
| Predicate | имеют |
P13309
|
FINISHED |
| Object | собственный литературный язык (русинский) |
—
|
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: собственный литературный язык (русинский) | Statement: [Русины, имеют, собственный литературный язык (русинский)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеют Context triple: [Русины, имеют, собственный литературный язык (русинский)]
-
A.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
B.
have
chosen
Indicates that one entity possesses, owns, or contains another entity or attribute.
-
C.
имеетОрган
Indicates that one entity possesses or contains a specific organ as a part of its body.
-
D.
among
Indicates that one or more entities are considered as part of, or in relation to, a larger group or collection of entities.
-
E.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8184788081909e9857afff629985 |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:03 p.m.