Triple
T13298400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kausani |
E316743
|
entity |
| Predicate | MahatmaGandhiRemark |
P70669
|
FINISHED |
| Object | called it the Switzerland of India |
—
|
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: called it the Switzerland of India | Statement: [Kausani, MahatmaGandhiRemark, called it the Switzerland of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MahatmaGandhiRemark Context triple: [Kausani, MahatmaGandhiRemark, called it the Switzerland of India]
-
A.
historicalFigureDiscussed
Indicates that a historical figure is the topic of discussion, analysis, or commentary in some context.
-
B.
notableGovernorGeneral
Indicates that the subject is a Governor General who is recognized as notable or distinguished in that role.
-
C.
notableHistoricalEntity
Indicates that an entity holds recognized historical significance or prominence within a historical context.
-
D.
hasMotiveForCommemoration
Indicates that an entity has a specific reason or justification for commemorating another entity, event, or occasion.
-
E.
veneratedFigureMentioned
chosen
Indicates that a person who is highly respected or revered is explicitly referenced or mentioned in relation to another entity or context.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:28 p.m.