Triple
T10384401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Орден Славы |
E244722
|
entity |
| Predicate | имеетСтепень |
P93900
|
FINISHED |
| Object | Орден Славы I степени |
—
|
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: Орден Славы I степени | Statement: [Орден Славы, имеетСтепень, Орден Славы I степени]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетСтепень Context triple: [Орден Славы, имеетСтепень, Орден Славы I степени]
-
A.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
B.
isDegreeOf
Indicates that one entity is an academic or professional degree held, pursued, or associated with another entity.
-
C.
hasHigherDegree
Indicates that one entity possesses an academic degree that is of a higher level than the academic degree held by another entity.
-
D.
hasDegreeRange
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
E.
hasDegreeLength
Indicates that something possesses a length measured in degrees, typically expressing angular extent or size.
- F. None of above. chosen
Provenance (4 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a35fb08190ab85b4a8f8dea511 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:04 p.m.