Triple
T26664784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jever Pilsener brewery |
E672150
|
entity |
| Predicate | beerBitterness |
P38317
|
FINISHED |
| Object | high bitterness |
—
|
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: high bitterness | Statement: [Jever Pilsener brewery, beerBitterness, high bitterness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beerBitterness Context triple: [Jever Pilsener brewery, beerBitterness, high bitterness]
-
A.
hasBitternessLevel
chosen
Indicates that an entity is associated with a specific degree or intensity of bitterness.
-
B.
beerColor
Indicates the color characteristic associated with a particular beer.
-
C.
beerStyle
Indicates that one entity is the style or type classification of a beer associated with another entity.
-
D.
typicalOriginalGravity
Indicates the usual or characteristic original gravity value associated with a given beer style or recipe.
-
E.
bottlingStrengthRange
Indicates the range of alcohol strengths at which a beverage is bottled.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f616c278b48190a1c1dc7a07a77ced |
completed | May 2, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:08 a.m.