Triple
T23038688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritos |
E573676
|
entity |
| Predicate | notableDishAssociation |
P79219
|
FINISHED |
| Object | Frito pie |
—
|
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: Frito pie | Statement: [Fritos, notableDishAssociation, Frito pie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDishAssociation Context triple: [Fritos, notableDishAssociation, Frito pie]
-
A.
knownForDish
chosen
Indicates that an entity is recognized or notable for preparing, serving, or being associated with a particular dish.
-
B.
isNationalDishOf
Indicates that a particular food is officially or culturally recognized as the national dish of a specific country or region.
-
C.
notoriouslyAssociatedWith
Indicates a widely recognized and often negative or infamous association between one entity and another.
-
D.
sharesCuisineWith
Indicates that two entities offer or are associated with the same type or style of cuisine.
-
E.
feastRelatedTo
Indicates a relationship in which one entity is connected or relevant to a feast, such as by association, participation, context, or thematic linkage.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185121da0819095b523d7d2c923ab |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.