Triple
T17072028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andechser Weissbier Dunkel |
E414244
|
entity |
| Predicate | traditionalGlassware |
P104024
|
FINISHED |
| Object | Weissbier glass |
—
|
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: Weissbier glass | Statement: [Andechser Weissbier Dunkel, traditionalGlassware, Weissbier glass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalGlassware Context triple: [Andechser Weissbier Dunkel, traditionalGlassware, Weissbier glass]
-
A.
glassType
chosen
Indicates the specific kind or category of glass associated with or used by an entity.
-
B.
traditionalWineChoice
Indicates that an entity selects or prefers a wine option that aligns with customary or historically established pairing or serving practices.
-
C.
traditionalMaterial
Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
-
D.
traditionalDrink
Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
-
E.
tableware
Indicates that an entity is a piece of tableware (such as dishes, utensils, or related items) used in serving or consuming food and 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc1b7d48190979a848b4188cb22 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.