Triple
T36235472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrods Beauty |
E891365
|
entity |
| Predicate | sellsBrandCategory |
P38689
|
FINISHED |
| Object | designer beauty brands |
—
|
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: designer beauty brands | Statement: [Harrods Beauty, sellsBrandCategory, designer beauty brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sellsBrandCategory Context triple: [Harrods Beauty, sellsBrandCategory, designer beauty brands]
-
A.
soldBrand
chosen
Indicates that a particular brand is sold or offered for sale by a given seller, store, or outlet.
-
B.
salesCategory
Indicates the classification or grouping of a sale or product into a specific sales-related category (e.g., by type, channel, or segment).
-
C.
soldBrandTo
Indicates that one entity transferred ownership or control of a brand to another entity through a sale.
-
D.
isSoldIn
Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
-
E.
shopSpecialty
Indicates that a shop primarily focuses on or is specially known for offering a particular type of product or service.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5a656808190b77b60d4703d0d91 |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.