Triple
T8714456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktoberfestbier |
E206859
|
entity |
| Predicate | flavorDescriptors |
P2068
|
FINISHED |
| Object | bread crust |
—
|
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: bread crust | Statement: [Oktoberfestbier, flavorDescriptors, bread crust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flavorDescriptors Context triple: [Oktoberfestbier, flavorDescriptors, bread crust]
-
A.
typicalFlavor
chosen
Indicates that something characteristically has or is associated with a particular flavor.
-
B.
hasVarietyOfFlavors
Indicates that one entity offers or contains multiple distinct flavors or taste options.
-
C.
coffeeFlavorNotes
Indicates the characteristic taste and aroma qualities associated with a particular coffee, such as specific flavor notes perceived when it is consumed.
-
D.
featuresBeverage
Indicates that one entity includes, offers, or presents a particular beverage as part of its contents, services, or characteristics.
-
E.
fruitCharacteristic
Indicates that a specified characteristic or property is attributed to a particular fruit.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.