Triple
T7258089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surabi |
E157773
|
entity |
| Predicate | typicalCookware |
P61222
|
FINISHED |
| Object | clay pan |
—
|
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: clay pan | Statement: [Surabi, typicalCookware, clay pan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCookware Context triple: [Surabi, typicalCookware, clay pan]
-
A.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
B.
isUsuallyCookedIn
chosen
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
C.
dishShape
Indicates that one entity has the physical form or contour characterized by the other entity as its shape.
-
D.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
-
E.
eatenWithUtensil
Indicates that something was eaten using a specific utensil as the means of consumption.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.