Triple
T15473502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Żółto-Niebiescy |
E376723
|
entity |
| Predicate | shortFormOfColors |
P68786
|
FINISHED |
| Object | żółty i niebieski |
—
|
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: żółty i niebieski | Statement: [Żółto-Niebiescy, shortFormOfColors, żółty i niebieski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormOfColors Context triple: [Żółto-Niebiescy, shortFormOfColors, żółty i niebieski]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
shortFormLanguage
Indicates that one entity is a shortened or abbreviated language representation or code corresponding to another language entity.
-
C.
codenameColor
Indicates that an entity’s codename is associated with or represented by a specific color.
-
D.
shortFormType
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
E.
colorDesignationInName
chosen
Indicates that a color term is explicitly included as part of an entity’s name or title.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:33 a.m.