Triple
T13953221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German federal election, November 1932 |
E335585
|
entity |
| Predicate | SPDVoteShare |
P112392
|
FINISHED |
| Object | approximately 20.4% |
—
|
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: approximately 20.4% | Statement: [German federal election, November 1932, SPDVoteShare, approximately 20.4%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SPDVoteShare Context triple: [German federal election, November 1932, SPDVoteShare, approximately 20.4%]
-
A.
LiberalDemocratVoteShare
Indicates the proportion of total votes received by the Liberal Democrat party in a given election or electoral unit.
-
B.
SNPVoteShare
Indicates the proportion of total votes that were cast for the SNP in a given election or electoral context.
-
C.
UnidasPodemosVoteSharePercentage
Indicates the percentage of total votes received by Unidas Podemos in an election.
-
D.
numberOfMEPsWonIn2019EuropeanElection
Indicates the number of Members of the European Parliament that an entity secured in the 2019 European Parliament election.
-
E.
brexitPartyPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Brexit Party.
- F. None of above. chosen
Provenance (4 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.