Triple
T19842708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettle Brand Backyard Barbeque potato chips |
E476775
|
entity |
| Predicate | snackFormat |
P137547
|
FINISHED |
| Object | chip |
—
|
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: chip | Statement: [Kettle Brand Backyard Barbeque potato chips, snackFormat, chip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snackFormat Context triple: [Kettle Brand Backyard Barbeque potato chips, snackFormat, chip]
-
A.
snackCourse
Indicates that one entity serves as a snack course in relation to another entity, typically within a meal or menu structure.
-
B.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
C.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
D.
treatsOf
Indicates that a work, statement, or discourse deals with, discusses, or is concerned with a particular subject or topic.
-
E.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
- F. None of above. chosen
Provenance (4 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65806ea888190850421154238d91c |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.