Triple
T28919285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krzyż Zasługi z Mieczami |
E733461
|
entity |
| Predicate | isDecorationClassOf |
P20441
|
FINISHED |
| Object | Krzyż Zasługi decorations system |
—
|
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: Krzyż Zasługi decorations system | Statement: [Krzyż Zasługi z Mieczami, isDecorationClassOf, Krzyż Zasługi decorations system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDecorationClassOf Context triple: [Krzyż Zasługi z Mieczami, isDecorationClassOf, Krzyż Zasługi decorations system]
-
A.
isStateDecoration
Indicates that an item is an official decoration or honor conferred by a state or government authority.
-
B.
containsDecorationFrom
Indicates that one entity includes or incorporates a decorative element that originates from another entity.
-
C.
decorationClass
chosen
Indicates that one entity serves as a decorative classification or style category applied to another entity.
-
D.
decorationClassWithin
Indicates that one decoration class is spatially or logically contained within another decoration class.
-
E.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b18c1208190add0150dd5e95270 |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:18 a.m.