Triple
T11461241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkley Jensen |
E271663
|
entity |
| Predicate | marketChannel |
P63582
|
FINISHED |
| Object | warehouse club |
—
|
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: warehouse club | Statement: [Berkley Jensen, marketChannel, warehouse club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketChannel Context triple: [Berkley Jensen, marketChannel, warehouse club]
-
A.
marketReach
Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
-
B.
marketsThrough
chosen
Indicates that one entity promotes, sells, or distributes its products or services by using another entity as a marketing or sales channel.
-
C.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
-
D.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
-
E.
market
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.