Triple
T2060519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam's Club |
E45777
|
entity |
| Predicate | productOffering |
P28338
|
FINISHED |
| Object | bulk goods |
—
|
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: bulk goods | Statement: [Sam's Club, productOffering, bulk goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productOffering Context triple: [Sam's Club, productOffering, bulk goods]
-
A.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
B.
offersProductCategory
chosen
Indicates that a provider or seller makes products belonging to a specific product category available.
-
C.
offeredService
Indicates that one entity has provided or made available a service to another entity.
-
D.
associatedOffering
Indicates a relationship where one offering is linked or connected to another offering as related or contextually relevant.
-
E.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9cfdac88190b8b7af1bfea6a78e |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.