Triple
T17938507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhurya-rasa |
E448528
|
entity |
| Predicate | primaryExample |
P127119
|
FINISHED |
| Object | Radha-Krishna relationship |
—
|
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: Radha-Krishna relationship | Statement: [Madhurya-rasa, primaryExample, Radha-Krishna relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryExample Context triple: [Madhurya-rasa, primaryExample, Radha-Krishna relationship]
-
A.
centralExample
chosen
Indicates that one entity serves as the primary or most representative example of another entity or concept.
-
B.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
C.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
-
D.
primary
Indicates that the referenced entity is the main or most important one among a set of related entities.
-
E.
primaryCase
Indicates that an entity is the main or leading instance in a set of related cases or occurrences.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9455fc81908bf595f9ed42c624 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.