Triple
T14434444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotonou Cathedral |
E357921
|
entity |
| Predicate | facadeColorPattern |
P39335
|
FINISHED |
| Object | red-and-white stripes |
—
|
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: red-and-white stripes | Statement: [Cotonou Cathedral, facadeColorPattern, red-and-white stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facadeColorPattern Context triple: [Cotonou Cathedral, facadeColorPattern, red-and-white stripes]
-
A.
façadeColorScheme
chosen
Indicates the relationship specifying the color arrangement or palette applied to the exterior façade of a structure.
-
B.
hasFrontDoorColor
Indicates that an entity’s front door is characterized by a specific color.
-
C.
hasFloorColor
Indicates that an entity possesses a floor whose surface is characterized by a specific color.
-
D.
hasRoofColor
Indicates that an entity possesses a roof whose color is the specified value.
-
E.
uniformFacingsColour
Indicates that the facings (such as cuffs, collars, or lapels) on a uniform share the same color.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.