Triple
T8418471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Science Diet Canine |
E198788
|
entity |
| Predicate | formulatedToSupport |
P3660
|
FINISHED |
| Object | specific health needs in dogs |
—
|
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: specific health needs in dogs | Statement: [Science Diet Canine, formulatedToSupport, specific health needs in dogs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formulatedToSupport Context triple: [Science Diet Canine, formulatedToSupport, specific health needs in dogs]
-
A.
coFormulated
Indicates that two or more entities were jointly formulated, designed, or created together as part of the same process or product.
-
B.
hasFormulation
chosen
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
C.
formulatedInTermsOf
Indicates that one concept, statement, or representation is expressed, defined, or described using the language, framework, or components of another.
-
D.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
-
E.
supportsForm
Indicates that one entity provides compatibility or backing for a particular form, format, or type associated with another entity.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c7d6e48190a2bbde89c5d42af6 |
completed | March 31, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.