Triple
T21401440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pure Encapsulations |
E527921
|
entity |
| Predicate | formulationFeature |
P143829
|
FINISHED |
| Object | free from common allergens |
—
|
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: free from common allergens | Statement: [Pure Encapsulations, formulationFeature, free from common allergens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formulationFeature Context triple: [Pure Encapsulations, formulationFeature, free from common allergens]
-
A.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
-
B.
coFormulatedWith
Indicates that one entity is formulated together with another as part of the same combined product or composition.
-
C.
coFormulated
Indicates that two or more entities were jointly formulated, designed, or created together as part of the same process or product.
-
D.
featuresDrug
Indicates that something (such as a product, treatment, or context) includes, involves, or prominently uses a particular drug.
-
E.
formalismFeature
Indicates that something is a characteristic, component, or property that belongs to or defines a particular formal system or formalism.
- F. None of above. chosen
Provenance (4 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1702b44819080b282c22d151c88 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:15 p.m.