Triple
T5667532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Medal of Honor |
E124891
|
entity |
| Predicate | ribbonDesign |
P35894
|
FINISHED |
| Object | light blue field with 13 white stars |
—
|
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: light blue field with 13 white stars | Statement: [Air Force Medal of Honor, ribbonDesign, light blue field with 13 white stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonDesign Context triple: [Air Force Medal of Honor, ribbonDesign, light blue field with 13 white stars]
-
A.
ribbonDesignFeature
chosen
Indicates a design-related characteristic or attribute that is specifically associated with a ribbon.
-
B.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
C.
ribStyle
Indicates the specific design or configuration of ribs used in or associated with an entity.
-
D.
ribbonWidth
Indicates the measurement of how wide a ribbon is across its narrow dimension.
-
E.
ribbonDevice
Indicates a relationship where an entity functions as, or is associated with, a ribbon-based device or mechanism.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.