Triple
T21675135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean diet |
E534946
|
entity |
| Predicate | associatedWithHealthOutcome |
P123837
|
FINISHED |
| Object | reduced risk of cardiovascular disease |
—
|
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: reduced risk of cardiovascular disease | Statement: [Mediterranean diet, associatedWithHealthOutcome, reduced risk of cardiovascular disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHealthOutcome Context triple: [Mediterranean diet, associatedWithHealthOutcome, reduced risk of cardiovascular disease]
-
A.
associatedWithOutcome
Indicates a relationship where an entity is linked to, contributes to, or results in a particular outcome.
-
B.
associatedHealthClassification
Indicates a relationship where one entity is linked to a specific health-related category, status, or classification.
-
C.
associatedWithDrug
Indicates that an entity has a relevant relationship or connection to a specific drug, such as use, exposure, or involvement in its context.
-
D.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
E.
healthAssociation
chosen
Indicates a relationship where one factor, condition, or entity is linked to an effect, outcome, or status related to health.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0f85748190944b9425ffed02ee |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:41 p.m.