Triple
T24825850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMM |
E621186
|
entity |
| Predicate | decorationCategory |
P157383
|
FINISHED |
| Object | orders, decorations and medals of Canada |
—
|
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: orders, decorations and medals of Canada | Statement: [OMM, decorationCategory, orders, decorations and medals of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorationCategory Context triple: [OMM, decorationCategory, orders, decorations and medals of Canada]
-
A.
decorativeCategory
Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category of another entity.
-
B.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
C.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
D.
decorationForm
Indicates the specific decorative style, pattern, or motif that characterizes how something is ornamented.
-
E.
designCategory
Indicates that one entity is classified under a particular design-related category or type.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:05 a.m.