Triple
T4664447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock Shelters of Bhimbetka |
E102810
|
entity |
| Predicate | hasDepictionsOf |
P20066
|
FINISHED |
| Object | hunting scenes |
—
|
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: hunting scenes | Statement: [Rock Shelters of Bhimbetka, hasDepictionsOf, hunting scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepictionsOf Context triple: [Rock Shelters of Bhimbetka, hasDepictionsOf, hunting scenes]
-
A.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
B.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
C.
artisticDepiction
chosen
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
D.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
E.
hasNoDepictionOf
Indicates that the subject lacks any visual or graphical representation of the specified object or concept.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.