Triple
T20150732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undhiyu |
E491426
|
entity |
| Predicate | typicalCookingVessel |
P61222
|
FINISHED |
| Object | earthen pot |
—
|
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: earthen pot | Statement: [Undhiyu, typicalCookingVessel, earthen pot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCookingVessel Context triple: [Undhiyu, typicalCookingVessel, earthen pot]
-
A.
servingVessel
Indicates that one entity functions as the container or vessel used to serve another entity (such as food or drink).
-
B.
possibleFermentationVessel
Indicates that something can serve as a suitable container or environment in which fermentation may take place.
-
C.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
D.
isUsuallyCookedIn
chosen
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
E.
dishShape
Indicates that one entity has the physical form or contour characterized by the other entity as its shape.
- 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.