Triple
T1560423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | नाथूराम विनायक गोडसे |
E33307
|
entity |
| Predicate | दोषसिद्धि |
P30333
|
FINISHED |
| Object | हत्या |
—
|
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: हत्या | Statement: [नाथूराम विनायक गोडसे, दोषसिद्धि, हत्या]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: दोषसिद्धि Context triple: [नाथूराम विनायक गोडसे, दोषसिद्धि, हत्या]
-
A.
guru
Indicates that one entity serves as a spiritual teacher, guide, or mentor to another entity.
-
B.
tinctureOfLion
Indicates a relationship where something is a medicinal or alchemical preparation (a “tincture”) derived from or associated with a lion.
-
C.
thirdTemptation
Indicates the relationship in which an entity is subjected to or involved in the third in a sequence of temptations or tests.
-
D.
seventhStation
Indicates that one entity is the seventh stop, stage, or position in an ordered sequence of stations relative to another.
-
E.
lastTirthankara
Indicates that the subject is the final or most recent Tirthankara in a recognized sequence of Tirthankaras.
- 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_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. |
| PDg | Predicate description generation | batch_69a9407aa20881909e747f247ccec642 |
completed | March 5, 2026, 8:36 a.m. |
Created at: March 4, 2026, 7:27 p.m.