Triple
T19691922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettle Brand Air Fried potato chips |
E472854
|
entity |
| Predicate | foodForm |
P50231
|
FINISHED |
| Object | sliced and fried potato chips |
—
|
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: sliced and fried potato chips | Statement: [Kettle Brand Air Fried potato chips, foodForm, sliced and fried potato chips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodForm Context triple: [Kettle Brand Air Fried potato chips, foodForm, sliced and fried potato chips]
-
A.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
B.
foodItem
chosen
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
C.
storesFood
Indicates that one entity keeps or holds food items for future use or consumption.
-
D.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
E.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64210cddc8190836faa2996a44457 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.