Triple
T21204346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asutav Kogu |
E522537
|
entity |
| Predicate | hasElectoralFranchise |
P48022
|
FINISHED |
| Object | men and women over 20 years of age |
—
|
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: men and women over 20 years of age | Statement: [Asutav Kogu, hasElectoralFranchise, men and women over 20 years of age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectoralFranchise Context triple: [Asutav Kogu, hasElectoralFranchise, men and women over 20 years of age]
-
A.
hasElectoralRight
Indicates that an entity possesses the legal right to participate in elections, typically by voting or standing as a candidate.
-
B.
usesElectoralRight
Indicates that an entity exercises its electoral rights, such as voting or otherwise participating in an electoral process.
-
C.
hadRightToElect
Indicates that an entity possessed the legal or formal authority to choose or vote for another entity in an election or selection process.
-
D.
hasTypeOfSuffrage
chosen
Indicates that an entity possesses or is characterized by a particular kind or form of suffrage (voting right).
-
E.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7343367308190b1b772d3c8e25dcb |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:19 p.m.