Triple
T6352642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagwati Charan Vohra |
E142912
|
entity |
| Predicate | viewOnMethods |
P43388
|
FINISHED |
| Object | supported revolutionary violence as political tool |
—
|
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: supported revolutionary violence as political tool | Statement: [Bhagwati Charan Vohra, viewOnMethods, supported revolutionary violence as political tool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnMethods Context triple: [Bhagwati Charan Vohra, viewOnMethods, supported revolutionary violence as political tool]
-
A.
viewOnObject
Indicates that one entity directs its visual attention toward or observes another entity as an object of viewing.
-
B.
viewOnValue
chosen
Indicates a relationship where one entity holds or expresses a particular perspective, opinion, or stance regarding a specific value or principle.
-
C.
viewOnObjects
Indicates a relationship where an entity directs its view or visual attention toward one or more objects.
-
D.
viewOnState
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
-
E.
viewOnCommands
Indicates that an entity observes or inspects a set of commands, typically to review, monitor, or analyze them.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dd3c74819085a164b750094c46 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.