Triple
T24289639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet of Franz von Papen |
E605777
|
entity |
| Predicate | electionHeldDuringTerm |
P102366
|
FINISHED |
| Object | German federal election, July 1932 |
—
|
NE NERFINISHED |
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: German federal election, July 1932 | Statement: [Cabinet of Franz von Papen, electionHeldDuringTerm, German federal election, July 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionHeldDuringTerm Context triple: [Cabinet of Franz von Papen, electionHeldDuringTerm, German federal election, July 1932]
-
A.
houseElectionsHeld
Indicates that elections have been conducted to choose members of a legislative house or lower chamber.
-
B.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
-
C.
electionsHeldOn
chosen
Indicates that one or more elections took place on a specified date or set of dates.
-
D.
governmentDuringTerm
Indicates that a particular government is the one in power during a specified officeholder’s term.
-
E.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f5908e08190a9f150df924a7160 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.