Triple
T16187658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ceinture fléchée |
E392849
|
entity |
| Predicate | hasTypicalColors |
P38941
|
FINISHED |
| Object | bright colors |
—
|
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: bright colors | Statement: [ceinture fléchée, hasTypicalColors, bright colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalColors Context triple: [ceinture fléchée, hasTypicalColors, bright colors]
-
A.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
B.
hasTypicalSeatColor
Indicates that an entity is characteristically associated with a particular color of seat.
-
C.
usesBrandColor
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
-
D.
traditionalKitColor
Indicates the customary or historically established color scheme used for an entity’s standard or primary kit or uniform.
-
E.
hasCapColor
Indicates that an entity possesses a cap whose color is specified by the related value.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e220630db481908a0c7f7170f20c5f |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.