Triple
T10267866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | silver star (Navy and Marine Corps device) |
E240755
|
entity |
| Predicate | indicatesOnRibbon |
P93026
|
FINISHED |
| Object | multiple decorations of same type |
—
|
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: multiple decorations of same type | Statement: [silver star (Navy and Marine Corps device), indicatesOnRibbon, multiple decorations of same type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatesOnRibbon Context triple: [silver star (Navy and Marine Corps device), indicatesOnRibbon, multiple decorations of same type]
-
A.
orderRibbonColor
Indicates the color assigned to the ribbon associated with a particular order.
-
B.
ribbonName
Indicates the specific name or label assigned to a ribbon within a system or context.
-
C.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
D.
campaignRibbon
Indicates that an entity has been awarded or is associated with a specific campaign ribbon recognizing participation in a particular military or organizational campaign.
-
E.
indicatedFor
Indicates...that one entity (typically a treatment, procedure, or product) is recommended or appropriate for use in relation to another entity (such as a condition, symptom, or patient group).
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d285812c8190ab910dc85c53eebf |
completed | April 7, 2026, 9:46 a.m. |
Created at: April 6, 2026, 11:34 a.m.