Triple
T24958832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazzetta of Portofino |
E624546
|
entity |
| Predicate | buildingColors |
P46808
|
FINISHED |
| Object | pastel facades |
—
|
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: pastel facades | Statement: [Piazzetta of Portofino, buildingColors, pastel facades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingColors Context triple: [Piazzetta of Portofino, buildingColors, pastel facades]
-
A.
buildingColor
chosen
Indicates the color or predominant exterior hue associated with a building.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
buildingChamberColor
Indicates the color relationship between a building and one of its chambers or interior spaces.
-
D.
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.
-
E.
dressColor
Indicates the color attribute associated with a particular dress.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:58 a.m.