Triple
T9297892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JP-7 |
E223685
|
entity |
| Predicate | containsAdditive |
P56320
|
FINISHED |
| Object | antioxidants |
—
|
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: antioxidants | Statement: [JP-7, containsAdditive, antioxidants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAdditive Context triple: [JP-7, containsAdditive, antioxidants]
-
A.
isAdditiveFor
Indicates that one entity can be combined with another in a way that their effects or quantities sum together to produce a cumulative result.
-
B.
containsAdditives
chosen
Indicates that one entity includes or is composed of additional substances or ingredients beyond its primary or original components.
-
C.
hasAdditiveGroup
Indicates that something possesses an associated additive group structure, typically meaning its elements form a group under an addition-like operation.
-
D.
hasAdditiveInverses
Indicates that for every element in a given structure, there exists another element that combines with it under the operation to yield the additive identity (typically zero).
-
E.
hasAddictiveSubstance
Indicates that an entity contains or involves a substance capable of causing addiction in those who use or consume it.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089e3ae88190aa4181cdd85a67b8 |
completed | April 1, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.