Triple
T867477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudama |
E18735
|
entity |
| Predicate | relationshipTypeWithKrishna |
P10690
|
FINISHED |
| Object | sakhya-bhāva (friendship devotion) |
—
|
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: sakhya-bhāva (friendship devotion) | Statement: [Sudama, relationshipTypeWithKrishna, sakhya-bhāva (friendship devotion)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithKrishna Context triple: [Sudama, relationshipTypeWithKrishna, sakhya-bhāva (friendship devotion)]
-
A.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
C.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
-
D.
worshippedAs
Indicates that one entity is regarded and treated with religious reverence or devotion by another entity.
-
E.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7e12b0819084d25b9a66888a91 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.