Triple
T31222911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clémentin de Pape Clément (white) |
E796062
|
entity |
| Predicate | drinkabilityProfile |
P109724
|
FINISHED |
| Object | early-drinking |
—
|
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: early-drinking | Statement: [Le Clémentin de Pape Clément (white), drinkabilityProfile, early-drinking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkabilityProfile Context triple: [Le Clémentin de Pape Clément (white), drinkabilityProfile, early-drinking]
-
A.
drinkFamily
Indicates a familial or close relational connection between two entities centered around drinking-related activities or contexts.
-
B.
drinks
Indicates that one entity consumes a liquid substance, typically by ingesting it through the mouth.
-
C.
drinksWith
Indicates that two entities consume beverages together, typically at the same time and place in a social context.
-
D.
drinkWindow
chosen
Indicates the time period during which a beverage (typically wine) is considered to be at its best for drinking.
-
E.
beerColor
Indicates the color characteristic associated with a particular beer.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:10 p.m.