Triple
T35993233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1933 Spanish general election |
E1040906
|
entity |
| Predicate | expandedSuffrageTo |
P44277
|
FINISHED |
| Object | 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: women | Statement: [1933 Spanish general election, expandedSuffrageTo, women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedSuffrageTo Context triple: [1933 Spanish general election, expandedSuffrageTo, women]
-
A.
expandedSuffrageAfter
Indicates that one entity broadened voting rights or electoral participation following the time or event associated with another entity.
-
B.
grantsSuffrageTo
Indicates that one party confers the legal right to vote upon another party.
-
C.
suffrageIncludes
chosen
Indicates that the scope of a group’s voting rights or electoral franchise extends to and encompasses the specified category of people or entities.
-
D.
hasUniversalSuffrage
Indicates that all adult citizens in a given jurisdiction have the legal right to vote in public elections, regardless of characteristics such as gender, race, or wealth.
-
E.
womenSuffrageGrantedIn
Indicates that women were granted the legal right to vote in a specified place or jurisdiction.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.