Triple
T10384408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Орден Славы |
E244722
|
entity |
| Predicate | формаЗнака |
P13707
|
FINISHED |
| Object | пятиконечная звезда |
—
|
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: пятиконечная звезда | Statement: [Орден Славы, формаЗнака, пятиконечная звезда]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: формаЗнака Context triple: [Орден Славы, формаЗнака, пятиконечная звезда]
-
A.
characterForm
Indicates that one entity is a particular form, version, or transformation state of a character.
-
B.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
C.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
D.
signType
Indicates the specific category or kind of sign involved in the relationship or action.
-
E.
symbolType
chosen
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
- 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_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. |
Created at: April 6, 2026, 12:04 p.m.