Triple
T3985196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great White Fleet |
E86852
|
entity |
| Predicate | colorOrigin |
P53192
|
FINISHED |
| Object | named for white-painted hulls |
—
|
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: named for white-painted hulls | Statement: [Great White Fleet, colorOrigin, named for white-painted hulls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorOrigin Context triple: [Great White Fleet, colorOrigin, named for white-painted hulls]
-
A.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
D.
colorReferenceExplains
Indicates that one color reference serves to clarify, define, or provide explanatory information about another color-related element or notation.
-
E.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa3cf4048190837f9ec5fa8e95e3 |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:33 p.m.