Triple
T16004035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TechStyle Fashion Group |
E388164
|
entity |
| Predicate | usesSalesChannel |
P35642
|
FINISHED |
| Object | direct-to-consumer online sales |
—
|
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: direct-to-consumer online sales | Statement: [TechStyle Fashion Group, usesSalesChannel, direct-to-consumer online sales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSalesChannel Context triple: [TechStyle Fashion Group, usesSalesChannel, direct-to-consumer online sales]
-
A.
salesChannels
chosen
Indicates the channels or methods through which a product or service is marketed, sold, or distributed to customers.
-
B.
supportsBuyingChannel
Indicates that one entity enables, allows, or is compatible with a particular buying or purchasing channel used by another entity.
-
C.
hasOutletStores
Indicates that an entity operates or is associated with one or more outlet retail stores.
-
D.
availabilityChannel
Indicates the medium or channel through which something (such as a product, service, or resource) is made available or can be accessed.
-
E.
hasOnlineShop
Indicates that an entity operates or is associated with a shop that sells goods or services via the internet.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.