Triple
T4830034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPB |
E107922
|
entity |
| Predicate | associatedProductType |
P44687
|
FINISHED |
| Object | Canned soup |
—
|
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: Canned soup | Statement: [CPB, associatedProductType, Canned soup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProductType Context triple: [CPB, associatedProductType, Canned soup]
-
A.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
B.
appliesToProductType
chosen
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
C.
associatedOffering
Indicates a relationship where one offering is linked or connected to another offering as related or contextually relevant.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
productTypePromoted
Indicates that a particular type or category of product is being actively promoted or highlighted, such as through marketing, placement, or special offers.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.