Triple
T24662610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarians |
E610577
|
entity |
| Predicate | beerCulture |
P156934
|
FINISHED |
| Object | Beer halls |
—
|
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: Beer halls | Statement: [Bavarians, beerCulture, Beer halls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beerCulture Context triple: [Bavarians, beerCulture, Beer halls]
-
A.
beerCulture
chosen
Indicates the presence, characteristics, or influence of traditions, practices, and social norms surrounding beer within a particular context or community.
-
B.
beerStyle
Indicates that one entity is the style or type classification of a beer associated with another entity.
-
C.
beerColor
Indicates the color characteristic associated with a particular beer.
-
D.
sharesWineAndBeerCulture
Indicates that two entities have a common cultural tradition or practice involving both wine and beer.
-
E.
beerBrand
Indicates that one entity is a brand designation for a particular type or product of beer associated with the other 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 2:34 a.m.