Triple
T35302516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tinoransak |
E1019540
|
entity |
| Predicate | cookingMedium |
P182711
|
FINISHED |
| Object | minimal liquid |
—
|
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: minimal liquid | Statement: [tinoransak, cookingMedium, minimal liquid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cookingMedium Context triple: [tinoransak, cookingMedium, minimal liquid]
-
A.
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).
-
B.
cookingSurface
Indicates that one entity serves as the surface or area on which another entity is used for cooking.
-
C.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
D.
cookingAppliance
Indicates that one entity is an appliance used by another entity for cooking food.
-
E.
cookingFuel
Indicates that one entity serves as the fuel or energy source used by another entity for cooking activities.
- F. None of above. chosen
Provenance (4 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904becb8819099bfe08009854ba5 |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.