Triple
T9399747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaukhtatgyi Buddha Temple |
E226436
|
entity |
| Predicate | materialOfStatue |
P1272
|
FINISHED |
| Object | plaster |
—
|
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: plaster | Statement: [Chaukhtatgyi Buddha Temple, materialOfStatue, plaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialOfStatue Context triple: [Chaukhtatgyi Buddha Temple, materialOfStatue, plaster]
-
A.
statueMaterialDetail
Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
-
B.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
artStyleOfEnclosingSculpture
Indicates that one entity specifies the artistic style or aesthetic category of a surrounding or enclosing sculpture associated with another entity.
-
E.
statueWeight
Indicates that a statue has a specific weight or mass.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5156b9588190bafb6b1c3ee3c0ed |
completed | April 1, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.