Triple
T21163273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shunya Sampadane |
E521492
|
entity |
| Predicate | hasInterpretiveRole |
P63697
|
FINISHED |
| Object | systematizes vachana teachings |
—
|
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: systematizes vachana teachings | Statement: [Shunya Sampadane, hasInterpretiveRole, systematizes vachana teachings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterpretiveRole Context triple: [Shunya Sampadane, hasInterpretiveRole, systematizes vachana teachings]
-
A.
interpretiveRole
chosen
Indicates that one entity serves as an interpretive function or perspective through which another entity is understood, explained, or given meaning.
-
B.
hasInterpretiveStaff
Indicates that an entity provides personnel whose role is to explain, interpret, or facilitate understanding of its content, activities, or environment for others.
-
C.
hasExpressiveRole
Indicates that an entity serves a communicative or expressive function or role in relation to another entity or context.
-
D.
hasInterpretiveSigns
Indicates that interpretive or informational signs are present at or associated with the subject.
-
E.
hasInterpreterProfession
Indicates that an entity works in the professional role or occupation of an interpreter.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72533fe88819082e14d71c36140be |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.