Triple
T37737612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahaparinirvana Temple |
E940316
|
entity |
| Predicate | mainStatuePosture |
P75611
|
FINISHED |
| Object | Buddha lying on right side |
—
|
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 lying on right side | Statement: [Mahaparinirvana Temple, mainStatuePosture, Buddha lying on right side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainStatuePosture Context triple: [Mahaparinirvana Temple, mainStatuePosture, Buddha lying on right side]
-
A.
mainStatueOrientation
Indicates the directional orientation or facing of the primary statue in a given context or setting.
-
B.
topStatue
Indicates that one entity is positioned as a statue on top of another entity.
-
C.
statueStateProperty
chosen
Indicates the condition or state-related attribute that a statue possesses or exhibits.
-
D.
statueSubject
Indicates that one entity is the subject or theme represented by a statue of another entity.
-
E.
positionOfStatue
Indicates the spatial location where a statue is situated or placed.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.