Triple
T25637667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corona Hard Seltzer |
E642749
|
entity |
| Predicate | flavored |
P125764
|
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: [Corona Hard Seltzer, flavored, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flavored Context triple: [Corona Hard Seltzer, flavored, true]
-
A.
isFlavored
chosen
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
B.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
C.
isFlavouredVariantOf
Indicates that one item is a version of another that has been modified or distinguished specifically by added or altered flavor characteristics.
-
D.
flavorDevelopment
Indicates the process by which the taste characteristics of something change or intensify over time or through specific conditions or treatments.
-
E.
frostingFlavor
Indicates the specific flavor associated with a cake’s frosting in the relationship.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa6345548190a52498ecb0a2f555 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:36 p.m.