Triple
T1574033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy and Marine Corps Medal |
E33606
|
entity |
| Predicate | ribbonType |
P30718
|
FINISHED |
| Object | service ribbon |
—
|
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: service ribbon | Statement: [Navy and Marine Corps Medal, ribbonType, service ribbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonType Context triple: [Navy and Marine Corps Medal, ribbonType, service ribbon]
-
A.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
B.
rimType
Indicates the specific style or configuration of a rim associated with an object or component.
-
C.
ribbonDevice
Indicates a relationship where an entity functions as, or is associated with, a ribbon-based device or mechanism.
-
D.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard design.
-
E.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.