Triple
T31924269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swarajati “Kamakshi Anudinamu” |
E815057
|
entity |
| Predicate | praisesAttributeOfDeity |
P70606
|
FINISHED |
| Object | compassion of Kamakshi |
—
|
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: compassion of Kamakshi | Statement: [Swarajati “Kamakshi Anudinamu”, praisesAttributeOfDeity, compassion of Kamakshi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: praisesAttributeOfDeity Context triple: [Swarajati “Kamakshi Anudinamu”, praisesAttributeOfDeity, compassion of Kamakshi]
-
A.
praisedDeity
Indicates that one entity expressed praise, admiration, or reverence toward a deity.
-
B.
attributeOfDeity
Indicates that something is a characteristic, quality, or property belonging to a deity.
-
C.
emphasizesAspectOfDeity
chosen
Indicates that one entity highlights, stresses, or draws special attention to a particular attribute, role, or dimension of a deity.
-
D.
honorsDeityAs
Indicates that one entity venerates, worships, or regards another entity as a particular deity or divine figure.
-
E.
theologicalAttribute
Indicates that one entity possesses or is characterized by a particular theological property, quality, or doctrinal attribute 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1fa05a081909ba84d0efc314ec4 |
completed | May 3, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, 12:03 a.m.