Triple
T8076643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Houses of Parliament, Sunset |
E188507
|
entity |
| Predicate | colorEmphasis |
P60
|
FINISHED |
| Object | atmospheric light and color effects |
—
|
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: atmospheric light and color effects | Statement: [The Houses of Parliament, Sunset, colorEmphasis, atmospheric light and color effects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorEmphasis Context triple: [The Houses of Parliament, Sunset, colorEmphasis, atmospheric light and color effects]
-
A.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
colorForElevated
Indicates the color that should be used when an element is in an elevated or raised state relative to its normal surface.
-
C.
colorForHigh
Indicates that a specific color is assigned or used to represent a high value, level, or intensity in some scale or context.
-
D.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404dc7ac8190956b5c2f5aeac6b2 |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:28 p.m.