Triple
T36912678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biało-Niebiescy |
E912953
|
entity |
| Predicate | colorWhiteInPolish |
P157072
|
FINISHED |
| Object | biały |
—
|
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: biały | Statement: [Biało-Niebiescy, colorWhiteInPolish, biały]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorWhiteInPolish Context triple: [Biało-Niebiescy, colorWhiteInPolish, biały]
-
A.
styleWhite
Indicates that one entity has a white style, appearance, or coloration in relation to another or within a given context.
-
B.
usedWhitePrimary
chosen
Indicates that the primary color used in the design, object, or element is white.
-
C.
whitePoint
Indicates the reference color point or standard white used as a basis for color measurements or calibration in a color space.
-
D.
slawColor
Indicates that one entity is the color associated with a particular serving or type of slaw.
-
E.
whiteShare
Indicates that one entity holds or controls a share or ownership stake that is classified as "white" (e.g., clean, legal, or non-blacklisted) in another entity.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.