Triple
T6980753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savita Ambedkar |
E161835
|
entity |
| Predicate | burialOrCremationReligion |
P4043
|
FINISHED |
| Object | Buddhist rites |
—
|
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: Buddhist rites | Statement: [Savita Ambedkar, burialOrCremationReligion, Buddhist rites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burialOrCremationReligion Context triple: [Savita Ambedkar, burialOrCremationReligion, Buddhist rites]
-
A.
hasPrimaryReligionOfBurials
Indicates that a group or community predominantly practices a particular religion in the context of its burial customs or rites.
-
B.
burialPractice
chosen
Indicates the customary methods, rituals, or procedures a group uses to bury or inter their dead.
-
C.
cremation
Indicates that one entity performs or undergoes the process of reducing a dead body to ashes by burning.
-
D.
burialPolicy
Indicates the rules or arrangements governing how and under what conditions a person’s body is to be buried.
-
E.
cremationPlace
Indicates the place where a person or entity was cremated.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6c1efc8190ab1575ae2ce726db |
completed | March 27, 2026, 7:33 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.