Triple
T25773899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beneful |
E649092
|
entity |
| Predicate | containsProductForm |
P20517
|
FINISHED |
| Object | kibble |
—
|
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: kibble | Statement: [Beneful, containsProductForm, kibble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsProductForm Context triple: [Beneful, containsProductForm, kibble]
-
A.
productForm
chosen
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
B.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
C.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
-
D.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
E.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 22, 2026, 5:32 a.m.