Triple
T26779280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wynkoop Brewing Company |
E670202
|
entity |
| Predicate | hasBrewed |
P124792
|
FINISHED |
| Object |
Rail Yard Ale
Rail Yard Ale is a flagship craft beer produced by Wynkoop Brewing Company, known for its balanced, approachable flavor profile.
|
E1741721
|
NE FINISHED |
How this triple was built (3 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: Rail Yard Ale | Statement: [Wynkoop Brewing Company, hasBrewed, Rail Yard Ale]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rail Yard Ale Triple: [Wynkoop Brewing Company, hasBrewed, Rail Yard Ale]
Generated description
Rail Yard Ale is a flagship craft beer produced by Wynkoop Brewing Company, known for its balanced, approachable flavor profile.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrewed Context triple: [Wynkoop Brewing Company, hasBrewed, Rail Yard Ale]
-
A.
brewedUsing
Indicates that one entity was produced or prepared by using another entity as an ingredient, material, or component in a brewing process.
-
B.
brewedAt
chosen
Indicates that a beverage or batch was produced or brewed at a specific location or facility.
-
C.
servedDrink
Indicates that one entity provided or presented a drink to another entity.
-
D.
brewedAccordingTo
Indicates that something has been produced or prepared following a specified brewing method, recipe, or standard.
-
E.
hasCaffeinatedOption
Indicates that something offers or includes at least one option that contains caffeine.
- F. None of above.
Provenance (6 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12095ed7348190a09957105ed3c8aa |
completed | May 23, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_6a120a8e2edc8190891be0f695a8c0e1 |
completed | May 23, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a120b9ce700819089a799bf42cbbac9 |
completed | May 23, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 4:07 a.m.