Triple
T8275868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curaçao liqueur |
E193544
|
entity |
| Predicate | sweeteningMethod |
P65313
|
FINISHED |
| Object | added sugar |
—
|
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: added sugar | Statement: [Curaçao liqueur, sweeteningMethod, added sugar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweeteningMethod Context triple: [Curaçao liqueur, sweeteningMethod, added sugar]
-
A.
sweetening
Indicates the action or process of making something taste sweeter, often by adding a sweet substance.
-
B.
sweetenerType
chosen
Indicates the specific kind or category of sweetener associated with or used in relation to an entity.
-
C.
sweetenerVariant
Indicates that one sweetening agent is a specific type, version, or alternative form of another sweetening agent.
-
D.
containsSweeteners
Indicates that something includes one or more sweetening substances as part of its composition or contents.
-
E.
isSweeterThan
Indicates that one entity has a higher level of sweetness in taste compared to another 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:51 p.m.