Triple
T27098517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy Expert Rifleman Medal ribbon |
E686374
|
entity |
| Predicate | ribbonDeviceUsage |
P161849
|
FINISHED |
| Object | may be worn with marksmanship devices |
—
|
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: may be worn with marksmanship devices | Statement: [Navy Expert Rifleman Medal ribbon, ribbonDeviceUsage, may be worn with marksmanship devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonDeviceUsage Context triple: [Navy Expert Rifleman Medal ribbon, ribbonDeviceUsage, may be worn with marksmanship devices]
-
A.
ribbonDevice
Indicates a relationship where an entity functions as, or is associated with, a ribbon-based device or mechanism.
-
B.
badgeUsage
Indicates how and in what context a badge is applied, displayed, or utilized in relation to an entity or activity.
-
C.
ribbonRepresents
Indicates that a ribbon symbolically stands for, signifies, or is used to represent something (such as a cause, concept, or affiliation).
-
D.
gridUsage
Indicates how much and in what way an entity consumes or relies on a shared grid-based resource, such as an electrical or data grid.
-
E.
usageStatus
Indicates the current state or condition of how something is being used, such as whether it is active, inactive, available, or in use.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623b2b1048190a718869c992aa3c5 |
completed | May 2, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:46 a.m.