Triple
T10504287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyson Airblade hand dryer |
E247745
|
entity |
| Predicate | dryingMethod |
P94262
|
FINISHED |
| Object | air scraping |
—
|
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: air scraping | Statement: [Dyson Airblade hand dryer, dryingMethod, air scraping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dryingMethod Context triple: [Dyson Airblade hand dryer, dryingMethod, air scraping]
-
A.
canDryOut
Indicates that one entity has the ability or tendency to cause another entity to lose moisture and become dry.
-
B.
preservationMethod
Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
-
C.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
-
D.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
E.
stainMethod
Indicates the technique or procedure used to apply a stain to a material or specimen.
- F. None of above. chosen
Provenance (4 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099f4dec8190a9851739c8bc9a69 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:26 p.m.