Triple
T38660621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reclining Buddha statue (Kushinagar) |
E940322
|
entity |
| Predicate | poseDetail |
P191488
|
FINISHED |
| Object | Buddha’s head resting on right hand |
—
|
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: Buddha’s head resting on right hand | Statement: [Reclining Buddha statue (Kushinagar), poseDetail, Buddha’s head resting on right hand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poseDetail Context triple: [Reclining Buddha statue (Kushinagar), poseDetail, Buddha’s head resting on right hand]
-
A.
compositionDetail
Indicates that one entity specifies or describes the internal makeup, structure, or constituent elements of another entity.
-
B.
styleDetail
Indicates a relationship where specific stylistic characteristics or attributes of something are described or specified in detail.
-
C.
angleDetail
Indicates a specific characteristic or measurement related to an angle, such as its size, orientation, or descriptive property.
-
D.
layoutDetail
Indicates the specific arrangement or configuration details of how elements are laid out in relation to each other.
-
E.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.