Triple
T1560432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | नाथूराम विनायक गोडसे |
E33307
|
entity |
| Predicate | धर्म |
P25219
|
FINISHED |
| Object | हिंदू |
—
|
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: हिंदू | Statement: [नाथूराम विनायक गोडसे, धर्म, हिंदू]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: धर्म Context triple: [नाथूराम विनायक गोडसे, धर्म, हिंदू]
-
A.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
-
B.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
C.
bearerReligion
chosen
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
-
D.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
E.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.