Triple
T8836500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jounen Kwéyòl (Creole Day) in Saint Lucia |
E210278
|
entity |
| Predicate | featuresDress |
P58290
|
FINISHED |
| Object | madras fabric |
—
|
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: madras fabric | Statement: [Jounen Kwéyòl (Creole Day) in Saint Lucia, featuresDress, madras fabric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDress Context triple: [Jounen Kwéyòl (Creole Day) in Saint Lucia, featuresDress, madras fabric]
-
A.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
B.
fashionCharacteristic
Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
-
C.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
D.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
E.
costumeFeatures
chosen
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.