Triple
T9277931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wartime Elections Act |
E222996
|
entity |
| Predicate | effectOnFranchise |
P3229
|
FINISHED |
| Object | expanded voting rights to certain women |
—
|
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 voting rights to certain women | Statement: [Wartime Elections Act, effectOnFranchise, expanded voting rights to certain women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnFranchise Context triple: [Wartime Elections Act, effectOnFranchise, expanded voting rights to certain women]
-
A.
affectedFranchise
chosen
Indicates that one entity has an impact on, or brings about a change in the status or condition of, a franchise.
-
B.
associatedFranchise
Indicates a relationship where one entity is linked to, or belongs within, a particular franchise or franchise universe.
-
C.
franchiseContribution
Indicates that an entity provides resources, value, or support to a franchise or franchised operation.
-
D.
usedByFranchise
Indicates that something (such as a resource, asset, or element) is utilized or employed by a particular franchise.
-
E.
franchiseChange
Indicates a change in the ownership, control, or branding rights of a franchise from one party to another.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cb28e081909b2754756c8f5dd0 |
completed | April 1, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.