Triple
T12166037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arugba |
E289834
|
entity |
| Predicate | ritualAttire |
P6085
|
FINISHED |
| Object | traditional white or light-colored garments |
—
|
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: traditional white or light-colored garments | Statement: [Arugba, ritualAttire, traditional white or light-colored garments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ritualAttire Context triple: [Arugba, ritualAttire, traditional white or light-colored garments]
-
A.
ceremonialDressFeature
chosen
Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
-
B.
traditionalDressVariant
Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
-
C.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
-
D.
relatedRegalia
Indicates that there is an association or connection between items of regalia, such as ceremonial garments, insignia, or symbols of office.
-
E.
ritualCategory
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.