Triple
T12451714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNA |
E297547
|
entity |
| Predicate | companyProductCategory |
P28338
|
FINISHED |
| Object | packaged foods |
—
|
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: packaged foods | Statement: [UNA, companyProductCategory, packaged foods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyProductCategory Context triple: [UNA, companyProductCategory, packaged foods]
-
A.
offersProductCategory
chosen
Indicates that a provider or seller makes products belonging to a specific product category available.
-
B.
productFamily
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
C.
vendorProductOf
Indicates that a product is offered or supplied by a particular vendor.
-
D.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
E.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.