Triple
T31263071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngahtatgyi Buddha Temple |
E797174
|
entity |
| Predicate | hasBuddhaImageType |
P56789
|
FINISHED |
| Object | seated Buddha |
—
|
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: seated Buddha | Statement: [Ngahtatgyi Buddha Temple, hasBuddhaImageType, seated Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuddhaImageType Context triple: [Ngahtatgyi Buddha Temple, hasBuddhaImageType, seated Buddha]
-
A.
hasSacredImage
Indicates that one entity possesses or is associated with an image regarded as sacred or religiously significant.
-
B.
hasImageType
chosen
Indicates that an entity is associated with an image of a particular type or format.
-
C.
hasImageFeature
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
-
D.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
E.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 29, 2026, 9:12 p.m.