Triple
T35902676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Si Chum |
E1038393
|
entity |
| Predicate | buddhaImageType |
P34813
|
FINISHED |
| Object | seated Buddha |
—
|
NE NERFINISHED |
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: seated Buddha | Statement: [Wat Si Chum, buddhaImageType, seated Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buddhaImageType Context triple: [Wat Si Chum, buddhaImageType, seated Buddha]
-
A.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
B.
associatedBuddha
Indicates a relationship where something is linked or connected to a particular Buddha, such as being attributed to, dedicated to, or representing that Buddha.
-
C.
iconographyType
chosen
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
D.
viewOnBuddhism
Indicates the stance, opinion, or perspective that an entity holds regarding Buddhism.
-
E.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.