Triple
T28226652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newman's Own |
E711605
|
entity |
| Predicate | businessCategory |
P72821
|
FINISHED |
| Object | consumer packaged 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: consumer packaged goods | Statement: [Newman's Own, businessCategory, consumer packaged goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessCategory Context triple: [Newman's Own, businessCategory, consumer packaged goods]
-
A.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
B.
commercialCategory
chosen
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
-
C.
businessFunction
Indicates the specific role, activity, or operational function that an entity performs within a business context.
-
D.
businessActivities
Indicates the commercial operations, transactions, or services that an entity conducts as part of its business.
-
E.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 10:50 p.m.