Triple
T10384419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Орден Славы |
E244722
|
entity |
| Predicate | льготыПолнымКавалерам |
P93908
|
FINISHED |
| Object | приравнивались к Героям Советского Союза по ряду прав |
—
|
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: приравнивались к Героям Советского Союза по ряду прав | Statement: [Орден Славы, льготыПолнымКавалерам, приравнивались к Героям Советского Союза по ряду прав]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: льготыПолнымКавалерам Context triple: [Орден Славы, льготыПолнымКавалерам, приравнивались к Героям Советского Союза по ряду прав]
-
A.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
isOrderOfKnighthood
Indicates that an entity is a formal chivalric or knightly order to which individuals can be admitted.
-
D.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another entity.
-
E.
hasCodeOfHonor
Indicates that an entity adheres to a personal or shared ethical code that guides its behavior and decisions.
- 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.