Triple
T6997986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roquefort |
E162264
|
entity |
| Predicate | allergen |
P37229
|
FINISHED |
| Object | milk |
—
|
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: milk | Statement: [Roquefort, allergen, milk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allergen Context triple: [Roquefort, allergen, milk]
-
A.
notableAllergenicGenera
Indicates that the subject is associated with genera that are particularly notable for causing allergic reactions.
-
B.
containsAllergenicCompound
Indicates that the subject entity includes one or more compounds known to cause allergic reactions.
-
C.
pollenAllergenicity
Indicates that one entity (typically a type of pollen) has the property or capacity to cause allergic reactions in another entity (such as a person or organism).
-
D.
antigen
chosen
Indicates that one entity functions as an antigen in relation to another, typically provoking or being recognized by an immune response.
-
E.
pollenType
Indicates the specific kind or category of pollen associated with an entity.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.