Triple
T19675712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bronze statue of Vairocana Buddha at Tōdai-ji |
E472446
|
entity |
| Predicate | seatedOn |
P54461
|
FINISHED |
| Object | lotus pedestal |
—
|
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: lotus pedestal | Statement: [bronze statue of Vairocana Buddha at Tōdai-ji, seatedOn, lotus pedestal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatedOn Context triple: [bronze statue of Vairocana Buddha at Tōdai-ji, seatedOn, lotus pedestal]
-
A.
seatOn
chosen
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
B.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
C.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
D.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
E.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location or area.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bb2b7c8190b2badf12ce2caa52 |
completed | April 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.