Triple
T3834327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Vietnam Cross of Gallantry with Palm |
E91091
|
entity |
| Predicate | symbolOnRibbon |
P21497
|
FINISHED |
| Object | bronze palm device |
—
|
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: bronze palm device | Statement: [Republic of Vietnam Cross of Gallantry with Palm, symbolOnRibbon, bronze palm device]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolOnRibbon Context triple: [Republic of Vietnam Cross of Gallantry with Palm, symbolOnRibbon, bronze palm device]
-
A.
symbolOnInsignia
chosen
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
B.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
C.
ribbonDesignFeature
Indicates a design-related characteristic or attribute that is specifically associated with a ribbon.
-
D.
symbolDesigned
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
-
E.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8a27688190866bc41441e2260c |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.