Triple
T27729425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Monster |
E697389
|
entity |
| Predicate | containsDairyAllergens |
P125779
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Java Monster, containsDairyAllergens, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDairyAllergens Context triple: [Java Monster, containsDairyAllergens, true]
-
A.
hasDairyContent
chosen
Indicates that something contains dairy ingredients or components as part of its composition.
-
B.
hasStandardDairy
Indicates that an entity adheres to or complies with an established standard related to dairy products or dairy practices.
-
C.
isDairyFree
Indicates that something does not contain dairy ingredients or components derived from milk.
-
D.
isAllergenFor
Indicates that one entity acts as an allergen that can trigger an allergic reaction in another entity.
-
E.
containsAllergenicCompound
Indicates that the subject entity includes one or more compounds known to cause allergic reactions.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 27, 2026, 3:10 p.m.