Triple
T8632664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGA |
E204439
|
entity |
| Predicate | simultaneousColorsMax |
P30793
|
FINISHED |
| Object | 262,144 colors |
—
|
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: 262,144 colors | Statement: [AGA, simultaneousColorsMax, 262,144 colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: simultaneousColorsMax Context triple: [AGA, simultaneousColorsMax, 262,144 colors]
-
A.
simultaneousColors
Indicates that two or more color-related events or states occur at the same time.
-
B.
maxColorsOnScreen
chosen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
C.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
D.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
-
E.
hasColorExcess
Indicates that an entity exhibits a measured amount of color excess, typically representing the difference between its observed color and its intrinsic or expected color.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:27 p.m.