Triple
T22684528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinty’s Delicious Foods |
E560873
|
entity |
| Predicate | mainIngredientFocus |
P5291
|
FINISHED |
| Object | chicken |
—
|
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: chicken | Statement: [Pinty’s Delicious Foods, mainIngredientFocus, chicken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainIngredientFocus Context triple: [Pinty’s Delicious Foods, mainIngredientFocus, chicken]
-
A.
hasMainIngredient
chosen
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
B.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
C.
intendedMeal
Indicates that one entity is the meal that another entity plans or expects to eat.
-
D.
knownForDish
Indicates that an entity is recognized or notable for preparing, serving, or being associated with a particular dish.
-
E.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17862c8a48190912a8ad09dfda795 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:12 p.m.