Triple
T34224137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Morgan |
E878000
|
entity |
| Predicate | flavoredWith |
P125764
|
FINISHED |
| Object | spices |
—
|
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: spices | Statement: [Captain Morgan, flavoredWith, spices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flavoredWith Context triple: [Captain Morgan, flavoredWith, spices]
-
A.
isFlavored
chosen
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
B.
isFlavouredVariantOf
Indicates that one item is a version of another that has been modified or distinguished specifically by added or altered flavor characteristics.
-
C.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
frostingFlavor
Indicates the specific flavor associated with a cake’s frosting in the relationship.
-
E.
flavorDevelopment
Indicates the process by which the taste characteristics of something change or intensify over time or through specific conditions or treatments.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.