Triple
T237278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of India Act 1935 |
E4848
|
entity |
| Predicate | increasedFranchise |
P7907
|
FINISHED |
| Object | expanded number of Indian voters |
—
|
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: expanded number of Indian voters | Statement: [Government of India Act 1935, increasedFranchise, expanded number of Indian voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasedFranchise Context triple: [Government of India Act 1935, increasedFranchise, expanded number of Indian voters]
-
A.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
B.
affectedFranchise
Indicates that one entity has an impact on, or brings about a change in the status or condition of, a franchise.
-
C.
increases
chosen
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
D.
hadFranchise
Indicates that one entity possessed or operated a franchise right or franchise unit of another entity.
-
E.
controlsFranchiseType
Indicates that one entity has authority to determine or manage the type or category of franchise associated with 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b5f27208190ae13f34037fe582b |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.