Triple
T19721251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kesava Bharati |
E473613
|
entity |
| Predicate | typeOfInitiationGiven |
P137065
|
FINISHED |
| Object | sannyasa initiation |
—
|
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: sannyasa initiation | Statement: [Kesava Bharati, typeOfInitiationGiven, sannyasa initiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInitiationGiven Context triple: [Kesava Bharati, typeOfInitiationGiven, sannyasa initiation]
-
A.
initiationInstitution
Indicates that an institution is responsible for initiating or starting a particular action, process, or relationship.
-
B.
initiatedBy
Indicates that an action, event, or process was started or set in motion by a particular entity.
-
C.
methodOfSettlement
Indicates the way in which a transaction, obligation, or dispute is resolved, completed, or paid.
-
D.
initiatorKnows
Indicates that the initiating entity possesses knowledge or awareness of the other entity or of the action/event in question.
-
E.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
- F. None of above. chosen
Provenance (4 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.