Triple
T5473705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Cross for Canada |
E122896
|
entity |
| Predicate | ribbonWidth |
P63963
|
FINISHED |
| Object | 38 millimetres |
—
|
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: 38 millimetres | Statement: [Victoria Cross for Canada, ribbonWidth, 38 millimetres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonWidth Context triple: [Victoria Cross for Canada, ribbonWidth, 38 millimetres]
-
A.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
B.
ribbonEdgeColor
Indicates the color assigned to the edge or border of a ribbon in a visualization or graphical representation.
-
C.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
D.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard design.
-
E.
ribbonStripeColor
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9230d6d88190a9ac48a4488e1754 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.