Triple
T26811861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunga Dyah Jatra |
E672016
|
entity |
| Predicate | deityAttribute |
P57193
|
FINISHED |
| Object | embodiment of compassion |
—
|
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: embodiment of compassion | Statement: [Bunga Dyah Jatra, deityAttribute, embodiment of compassion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deityAttribute Context triple: [Bunga Dyah Jatra, deityAttribute, embodiment of compassion]
-
A.
attributeOfDeity
chosen
Indicates that something is a characteristic, quality, or property belonging to a deity.
-
B.
featuresDeity
Indicates that a work, object, or context prominently includes, depicts, or centers around a particular deity.
-
C.
deityCategory
Indicates that one entity is classified as belonging to a particular category or type of deity in relation to another entity.
-
D.
hasDeityAspect
Indicates that one entity embodies, represents, or functions as a specific divine aspect or manifestation of another deity.
-
E.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a24250881909058004a19201c56 |
completed | May 2, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:29 a.m.