Triple
T36610261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikyátki Revival style |
E903446
|
entity |
| Predicate | typicalPaintColor |
P38941
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [Sikyátki Revival style, typicalPaintColor, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPaintColor Context triple: [Sikyátki Revival style, typicalPaintColor, black]
-
A.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
B.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
-
C.
homeColorsDominant
Indicates that the primary or most prominent colors associated with a subject’s home (such as a team’s home uniform or a building’s main color scheme) are specified or emphasized.
-
D.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors of 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.