Triple
T22089001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakanin Festival |
E545863
|
entity |
| Predicate | typeOfFoodHighlighted |
P122925
|
FINISHED |
| Object | rice cakes |
—
|
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: rice cakes | Statement: [Kakanin Festival, typeOfFoodHighlighted, rice cakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFoodHighlighted Context triple: [Kakanin Festival, typeOfFoodHighlighted, rice cakes]
-
A.
typeOfFoodFestival
chosen
Indicates the specific kind or category of food festival associated with an event or entity.
-
B.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
C.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
D.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
E.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e47ba08190a208af72a7cc176f |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.