Triple
T16952343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NutraSweet |
E411213
|
entity |
| Predicate | hasHealthConsideration |
P4720
|
FINISHED |
| Object | not suitable for individuals with phenylketonuria |
—
|
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: not suitable for individuals with phenylketonuria | Statement: [NutraSweet, hasHealthConsideration, not suitable for individuals with phenylketonuria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHealthConsideration Context triple: [NutraSweet, hasHealthConsideration, not suitable for individuals with phenylketonuria]
-
A.
hasHealthConcern
chosen
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
B.
hasTreatmentConsideration
Indicates that a particular factor, condition, or option should be taken into account when planning, selecting, or managing a treatment.
-
C.
hasHealthWarningOnPackaging
Indicates that an item’s packaging displays a health-related warning message or symbol.
-
D.
hasContraindication
Indicates that one entity (such as a treatment, drug, or procedure) should not be used or performed in the presence of another entity (such as a condition, factor, or co-medication) because it may cause harm or adverse effects.
-
E.
hasHealthCode
Indicates that an entity is associated with a specific health-related classification or status code.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0197f308190af7185fc9cc7a6e9 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.