Triple
T26123517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paskola dance |
E659038
|
entity |
| Predicate | maskFeature |
P145583
|
FINISHED |
| Object | zoomorphic designs |
—
|
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: zoomorphic designs | Statement: [Paskola dance, maskFeature, zoomorphic designs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskFeature Context triple: [Paskola dance, maskFeature, zoomorphic designs]
-
A.
maskColor
Indicates the color attribute associated with a mask.
-
B.
mask
Indicates that one entity covers, conceals, or obscures another entity, typically to hide its identity, appearance, or specific features.
-
C.
typicalMaskFeature
chosen
Indicates that a feature is characteristic or commonly found on a particular type of mask.
-
D.
maskCharacteristic
Indicates that one entity serves to conceal, obscure, or alter the apparent characteristics or properties of another entity.
-
E.
maskOrigin
Indicates that one entity serves as the original source or basis from which another entity’s mask or masking representation is derived.
- 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60acf9f5c819095cc60b81bea1b59 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:10 p.m.