Triple
T27085453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskateller |
E686023
|
entity |
| Predicate | hasTypicalAlcoholRange |
P109725
|
FINISHED |
| Object | low to medium |
—
|
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: low to medium | Statement: [Muskateller, hasTypicalAlcoholRange, low to medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalAlcoholRange Context triple: [Muskateller, hasTypicalAlcoholRange, low to medium]
-
A.
alcoholRange
chosen
Indicates the range or interval of alcohol content associated with an entity (e.g., minimum and maximum alcohol level).
-
B.
hasAlcoholContent
Indicates that an entity contains alcohol and specifies the amount or concentration of that alcohol.
-
C.
hasAlcoholicVariant
Indicates that an entity has a related version or counterpart that contains alcohol.
-
D.
isLowerAlcoholVersionOf
Indicates that one beverage or alcoholic product is a version of another that contains a lower alcohol content.
-
E.
isAlcoholicBeverage
Indicates that a beverage contains alcohol and is classified as an alcoholic drink.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 27, 2026, 8:37 a.m.