Triple
T9845895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quadling Country |
E239340
|
entity |
| Predicate | countryColorSystem |
P26636
|
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 Country, countryColorSystem, color-coded quadrants of Oz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryColorSystem Context triple: [Quadling Country, countryColorSystem, color-coded quadrants of Oz]
-
A.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
-
B.
stateColours
Indicates that specific colours are officially associated with or designated for a particular state.
-
C.
mapColor
chosen
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
D.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
E.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35ff7848190a8a717773d8654b9 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.