Triple
T13953219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German federal election, November 1932 |
E335585
|
entity |
| Predicate | NSDAPSeatChangeFromJuly1932 |
P112390
|
FINISHED |
| Object | loss of seats |
—
|
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: loss of seats | Statement: [German federal election, November 1932, NSDAPSeatChangeFromJuly1932, loss of seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NSDAPSeatChangeFromJuly1932 Context triple: [German federal election, November 1932, NSDAPSeatChangeFromJuly1932, loss of seats]
-
A.
joinedNSDAP
Indicates that an individual became a member of the National Socialist German Workers' Party (NSDAP).
-
B.
NaziPartyVoteSharePercentage
Indicates the percentage of total votes in an election that were cast for the Nazi Party.
-
C.
LabourSeatChange
Indicates a change in the number of parliamentary seats held by the Labour Party between two electoral outcomes.
-
D.
DemocraticSeatChange
Indicates the change in the number of seats held by the Democratic Party between two specified electoral outcomes or time points.
-
E.
winningPartySeatChange
Indicates the change in the number of seats held by the winning party compared to a previous election or reference point.
- 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.