Triple
T10029645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodol Garut |
E204819
|
entity |
| Predicate | cookingTimeCharacteristic |
P50957
|
FINISHED |
| Object | long cooking time with continuous stirring |
—
|
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: long cooking time with continuous stirring | Statement: [Dodol Garut, cookingTimeCharacteristic, long cooking time with continuous stirring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cookingTimeCharacteristic Context triple: [Dodol Garut, cookingTimeCharacteristic, long cooking time with continuous stirring]
-
A.
typicalCookingTime
chosen
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
B.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
C.
cuisineFeature
Indicates a characteristic, quality, or notable aspect that describes or distinguishes a particular cuisine.
-
D.
requiresCookingTemperature
Indicates that performing the action or preparing the item necessitates reaching or maintaining a specific cooking temperature.
-
E.
usesCookingMethod
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde69bd08190a5c79ec8487dfff6 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.