Triple
T3515374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Pardon de Pont-Aven |
E74292
|
entity |
| Predicate | mainColorCharacteristic |
P17891
|
FINISHED |
| Object | vivid palette |
—
|
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: vivid palette | Statement: [Le Pardon de Pont-Aven, mainColorCharacteristic, vivid palette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainColorCharacteristic Context triple: [Le Pardon de Pont-Aven, mainColorCharacteristic, vivid palette]
-
A.
primaryColour
Indicates that one entity is the main or dominant color characteristic of another entity.
-
B.
lightingCharacteristic
Indicates the specific qualities or properties of how something is lit, such as brightness, color, direction, or style of illumination.
-
C.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
D.
bladeColour
Indicates the color attribute assigned to a blade in the relationship.
-
E.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.