Triple
T13908791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Castile-La Mancha |
E334429
|
entity |
| Predicate | rightPanelColor |
P67443
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [flag of Castile-La Mancha, rightPanelColor, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightPanelColor Context triple: [flag of Castile-La Mancha, rightPanelColor, white]
-
A.
laterColorOption
Indicates that one color option occurs or becomes available after another in a sequence or ordering.
-
B.
bottomRightCantonColor
chosen
Indicates the color that appears in the bottom-right canton (corner section) of a divided or patterned area.
-
C.
centralFigureColor
Indicates the color attribute assigned to the main or most prominent figure in a scene or composition.
-
D.
laterColorVariant
Indicates that one entity is a color variant that appeared or was introduced after the other entity in time.
-
E.
topRightCantonColor
Indicates the color that appears in the top-right canton (corner section) of a flag or similar rectangular field.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.