Triple
T14959729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pattachitra painting |
E373031
|
entity |
| Predicate | surfacePreparation |
P47540
|
FINISHED |
| Object | cloth coated with chalk and gum |
—
|
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: cloth coated with chalk and gum | Statement: [Pattachitra painting, surfacePreparation, cloth coated with chalk and gum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfacePreparation Context triple: [Pattachitra painting, surfacePreparation, cloth coated with chalk and gum]
-
A.
surfaceOperation
Indicates an operation or activity that is performed on or at the surface of an object, material, or environment.
-
B.
surfaceManagement
Indicates the management or control exercised over the surface of an area, object, or environment, such as its use, maintenance, or treatment.
-
C.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
D.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
-
E.
preparationInvolved
chosen
Indicates that a particular preparation, process, or setup is involved in enabling or carrying out an action, event, or relationship.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:40 a.m.