Triple
T23309048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korps Mariniers |
E590529
|
entity |
| Predicate | uniformColorFeature |
P151816
|
FINISHED |
| Object | dark blue beret |
—
|
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: dark blue beret | Statement: [Korps Mariniers, uniformColorFeature, dark blue beret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformColorFeature Context triple: [Korps Mariniers, uniformColorFeature, dark blue beret]
-
A.
uniformColourPatch
Indicates that a region or patch has a consistent, uniform color throughout.
-
B.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
C.
uniformBranchColor
Indicates that all branches of the referenced entity share the same color.
-
D.
uniformAccentColor
Indicates that multiple elements share the same accent color, creating a consistent visual highlight across them.
-
E.
uniformFacingsColour
Indicates that the facings (such as cuffs, collars, or lapels) on a uniform share the same color.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19729f7a4819092a1d24415b3df7a |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:05 p.m.