Triple
T34813499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shubha |
E1003561
|
entity |
| Predicate | associatedWithAspect |
P185614
|
FINISHED |
| Object | divine feminine |
—
|
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: divine feminine | Statement: [Shubha, associatedWithAspect, divine feminine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAspect Context triple: [Shubha, associatedWithAspect, divine feminine]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
refersToAspect
Indicates that one entity specifically references or points to a particular aspect, feature, or component of another entity.
-
C.
usesAspect
Indicates that one entity employs, adopts, or operates under a particular aspect, perspective, or mode associated with another entity.
-
D.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
E.
associatedWithAttribute
chosen
Indicates that one entity is linked to, characterized by, or described through a particular attribute.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.