Triple
T10286658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillikin Country |
E241244
|
entity |
| Predicate | colorCodingSystem |
P62473
|
FINISHED |
| Object | Oz regional color scheme |
—
|
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: Oz regional color scheme | Statement: [Gillikin Country, colorCodingSystem, Oz regional color scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorCodingSystem Context triple: [Gillikin Country, colorCodingSystem, Oz regional color scheme]
-
A.
colorSystem
chosen
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
B.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
C.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
D.
codingSystemType
Indicates the classification or category of coding system used to encode or represent information in a given context.
-
E.
codenameColor
Indicates that an entity’s codename is associated with or represented by a specific 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:40 a.m.