Triple
T37533786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leinenkugel’s Harvest Patch Shandy |
E933135
|
entity |
| Predicate | baseBeer |
P52234
|
FINISHED |
| Object | wheat beer |
—
|
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: wheat beer | Statement: [Leinenkugel’s Harvest Patch Shandy, baseBeer, wheat beer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseBeer Context triple: [Leinenkugel’s Harvest Patch Shandy, baseBeer, wheat beer]
-
A.
beerBrand
Indicates that one entity is a brand designation for a particular type or product of beer associated with the other entity.
-
B.
beerStyle
chosen
Indicates that one entity is the style or type classification of a beer associated with another entity.
-
C.
beerBrewedBy
Indicates that a particular beer is produced or created by a specific brewer, brewery, or brewing entity.
-
D.
beerColor
Indicates the color characteristic associated with a particular beer.
-
E.
breweryType
Indicates the specific category or classification of a brewery based on its operational or business characteristics.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.