Triple
T32179909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatar cuisine |
E821951
|
entity |
| Predicate | usesStapleIngredient |
P12771
|
FINISHED |
| Object | wheat flour |
—
|
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: wheat flour | Statement: [Tatar cuisine, usesStapleIngredient, wheat flour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStapleIngredient Context triple: [Tatar cuisine, usesStapleIngredient, wheat flour]
-
A.
isStapleOf
Indicates that something is a basic or essential item regularly used or consumed within a particular context, place, or group.
-
B.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
C.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
D.
hasLiveStaple
Indicates that one entity currently contains or is associated with a staple that is still live, active, or in effect.
-
E.
isHouseholdStaple
Indicates that something is commonly and consistently kept on hand in a household as a basic, regularly used item.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 12:34 a.m.