Triple
T33284621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quadling |
E852145
|
entity |
| Predicate | regionColorSystem |
P147116
|
FINISHED |
| Object | color-coded quadrants of Oz |
—
|
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: color-coded quadrants of Oz | Statement: [Quadling, regionColorSystem, color-coded quadrants of Oz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionColorSystem Context triple: [Quadling, regionColorSystem, color-coded quadrants of Oz]
-
A.
zoneColor
chosen
Indicates the color assigned to a particular zone or area.
-
B.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
C.
countyColours
Indicates that a specific color or set of colors is associated with, represents, or is used to depict a particular county.
-
D.
mapColor
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
E.
colorStates
Indicates that an entity has or is associated with one or more specific color conditions or statuses.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:32 a.m.