Triple
T21751845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bois d’Orange |
E536932
|
entity |
| Predicate | hasMainColorAssociation |
P65875
|
FINISHED |
| Object | orange |
—
|
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: orange | Statement: [Bois d’Orange, hasMainColorAssociation, orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainColorAssociation Context triple: [Bois d’Orange, hasMainColorAssociation, orange]
-
A.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
-
B.
containsColor
Indicates that one entity includes or exhibits the color specified by another entity.
-
C.
hasFacadeColorAssociation
Indicates an association between a building’s facade and a specific color or set of colors used on it.
-
D.
hasCapColor
Indicates that an entity possesses a cap whose color is specified by the related value.
-
E.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8a6d4881908cc69e7247cce3a5 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.