Triple
T11913704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Myat Muni Pagoda |
E283457
|
entity |
| Predicate | decorationOfMainImage |
P60999
|
FINISHED |
| Object | gold leaf |
—
|
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: gold leaf | Statement: [Maha Myat Muni Pagoda, decorationOfMainImage, gold leaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorationOfMainImage Context triple: [Maha Myat Muni Pagoda, decorationOfMainImage, gold leaf]
-
A.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
B.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
C.
decorationForm
chosen
Indicates the specific decorative style, pattern, or motif that characterizes how something is ornamented.
-
D.
secondMainFigure
Indicates that an entity serves as the second most important or prominent figure in relation to another primary figure or context.
-
E.
interiorDecoratedBy
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e52a2bc08190b80cc6ccf5779d7c |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.