Triple
T7977275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Forces Decoration |
E185476
|
entity |
| Predicate | hasClasp |
P16983
|
FINISHED |
| Object | bar with maple leaf design |
—
|
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: bar with maple leaf design | Statement: [Canadian Forces Decoration, hasClasp, bar with maple leaf design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClasp Context triple: [Canadian Forces Decoration, hasClasp, bar with maple leaf design]
-
A.
hasClasps
chosen
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
-
B.
claspIndicates
Indicates a relationship where one entity grasps, holds, or fastens onto another, typically in a secure or enclosing manner.
-
C.
hasStrapType
Indicates that an item is associated with or equipped with a specific type or style of strap.
-
D.
collarFeature
Indicates that one entity has a specific characteristic, detail, or attribute related to a collar.
-
E.
hasComb
Indicates that an entity possesses or is equipped with a comb.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.