Triple
T10965508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dairy Capital of Canada |
E259085
|
entity |
| Predicate | hasProductAssociation |
P3585
|
FINISHED |
| Object | milk |
—
|
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: milk | Statement: [Dairy Capital of Canada, hasProductAssociation, milk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductAssociation Context triple: [Dairy Capital of Canada, hasProductAssociation, milk]
-
A.
hasProduct
chosen
Indicates that an entity possesses, offers, or is associated with a particular product.
-
B.
hasProductAttribute
Indicates that a product is associated with a specific attribute describing one of its characteristics or properties.
-
C.
hasProductUser
Indicates that a product is associated with or used by a particular user.
-
D.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
E.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77148c4588190ad0f2b54ee4bab98 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.