Triple
T4812638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German presidential election, 1932 |
E107106
|
entity |
| Predicate | isDirectElection |
P59780
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [German presidential election, 1932, isDirectElection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDirectElection Context triple: [German presidential election, 1932, isDirectElection, true]
-
A.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
B.
allowsDirectDemocracy
Indicates that an entity provides mechanisms for citizens to directly participate in decision-making processes, such as through referendums or initiatives.
-
C.
isUsuallyElectedFor
Indicates that an entity typically attains a position, role, or office through an election process.
-
D.
appointedOrElected
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
-
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. 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:23 p.m.