Triple
T34502530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Медаль «За трудовую доблесть» |
E885794
|
entity |
| Predicate | ribbonStripe |
P18548
|
FINISHED |
| Object | синяя продольная полоса |
—
|
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: синяя продольная полоса | Statement: [Медаль «За трудовую доблесть», ribbonStripe, синяя продольная полоса]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonStripe Context triple: [Медаль «За трудовую доблесть», ribbonStripe, синяя продольная полоса]
-
A.
ribbonStripeColor
chosen
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
-
B.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard design.
-
C.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
D.
orangeStripeRepresents
Indicates that an orange stripe symbolically stands for, denotes, or conveys the meaning of a particular concept, status, or entity.
-
E.
ribbonWidth
Indicates the measurement of how wide a ribbon is across its narrow dimension.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.