Triple
T13836577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smythson |
E332543
|
entity |
| Predicate | sellsThrough |
P35642
|
FINISHED |
| Object | boutiques |
—
|
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: boutiques | Statement: [Smythson, sellsThrough, boutiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sellsThrough Context triple: [Smythson, sellsThrough, boutiques]
-
A.
salesChannels
chosen
Indicates the channels or methods through which a product or service is marketed, sold, or distributed to customers.
-
B.
isSoldIn
Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
-
C.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
D.
tradeMedium
Indicates that one entity serves as the medium or instrument through which another entity conducts trade or exchange transactions.
-
E.
associatedRetailer
Indicates that one entity has a business or operational connection with a particular retailer, such as partnership, distribution, or sales affiliation.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029b352081909605baaedc336213 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.