Triple
T20150733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undhiyu |
E491426
|
entity |
| Predicate | typicalCookingOrientation |
P61222
|
FINISHED |
| Object | upside-down cooking in underground pit |
—
|
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: upside-down cooking in underground pit | Statement: [Undhiyu, typicalCookingOrientation, upside-down cooking in underground pit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCookingOrientation Context triple: [Undhiyu, typicalCookingOrientation, upside-down cooking in underground pit]
-
A.
foodPreparationStyle
Indicates the manner or method by which food is prepared, cooked, or processed.
-
B.
isUsuallyCookedIn
chosen
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
C.
usesCookingMethod
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
D.
styleOrientation
Indicates the general stylistic direction or aesthetic approach that characterizes how something is designed, presented, or expressed.
-
E.
fryCook
Indicates that one entity works as a cook who prepares food by frying, typically in a restaurant or similar setting, for another entity (such as an employer or establishment).
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a1c5848190975b17ab07251f8b |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.