Triple
T4411769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American cuisine |
E94866
|
entity |
| Predicate | usesStapleFood |
P14450
|
FINISHED |
| Object | cornbread |
—
|
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: cornbread | Statement: [American cuisine, usesStapleFood, cornbread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStapleFood Context triple: [American cuisine, usesStapleFood, cornbread]
-
A.
hasStapleFood
chosen
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
B.
isHouseholdStaple
Indicates that something is commonly and consistently kept on hand in a household as a basic, regularly used item.
-
C.
isAbundantInFood
Indicates that a particular nutrient, substance, or component is present in large quantities within a given food.
-
D.
hasSpecialtyFood
Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
-
E.
usesIngredient
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.