Triple
T1776476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill's Pet Nutrition |
E38990
|
entity |
| Predicate | regulatesNutrientsFor |
P14466
|
FINISHED |
| Object | kidney health in pets |
—
|
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: kidney health in pets | Statement: [Hill's Pet Nutrition, regulatesNutrientsFor, kidney health in pets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesNutrientsFor Context triple: [Hill's Pet Nutrition, regulatesNutrientsFor, kidney health in pets]
-
A.
nutrientUptake
Indicates the process by which an entity absorbs or takes in nutrients from its surrounding environment.
-
B.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
C.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
D.
characterizesDietAs
Indicates that one entity describes, defines, or assigns the type or nature of another entity’s diet.
-
E.
regulatesWith
chosen
Indicates that one entity controls, modulates, or influences the activity, state, or behavior of another entity through some regulatory mechanism or interaction.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.