Triple
T38052341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leinenkugel’s Maibock |
E949797
|
entity |
| Predicate | maltForward |
P120307
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Leinenkugel’s Maibock, maltForward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maltForward Context triple: [Leinenkugel’s Maibock, maltForward, true]
-
A.
maltContent
Indicates the proportion or amount of malt present in a substance, typically a beverage or food product.
-
B.
hasMaltCharacter
chosen
Indicates that something possesses or exhibits the flavor, aroma, or overall sensory qualities associated with malt.
-
C.
forward
Indicates that one entity sends, directs, or passes something on to another entity, typically along a path or sequence.
-
D.
typeOfMalt
Indicates the specific kind or category of malt used or referenced in relation to another entity.
-
E.
bestForward
Indicates that the subject is considered the most effective or outstanding forward (e.g., in an offensive or attacking role) relative to a given group or context.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.