Triple
T21158930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life Savers, Inc. |
E521383
|
entity |
| Predicate | productPackaging |
P39622
|
FINISHED |
| Object | paper-wrapped rolls |
—
|
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: paper-wrapped rolls | Statement: [Life Savers, Inc., productPackaging, paper-wrapped rolls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productPackaging Context triple: [Life Savers, Inc., productPackaging, paper-wrapped rolls]
-
A.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
B.
packagingStyle
chosen
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
colorOfPackaging
Indicates the color attribute associated with the packaging of an item or product.
-
D.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
-
E.
packagingSize
Indicates the specific quantity or physical dimensions in which a product is packaged for sale or distribution.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252e9ef481908f4904c535f3da8b |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.