Triple
T11630699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundestag electoral district |
E276387
|
entity |
| Predicate | hasElectionInterval |
P63472
|
FINISHED |
| Object | normally every four years |
—
|
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: normally every four years | Statement: [Bundestag electoral district, hasElectionInterval, normally every four years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectionInterval Context triple: [Bundestag electoral district, hasElectionInterval, normally every four years]
-
A.
hasElection
Indicates that an entity conducts, holds, or is associated with an election event.
-
B.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
-
C.
hasElectionType
Indicates the specific category or kind of election associated with a given electoral event or process.
-
D.
hasElectionFraction
Indicates that a specified portion or fraction of the total vote or electorate is associated with a particular election-related entity or outcome.
-
E.
hasInterval
chosen
Indicates that something is associated with a specific span or range between two points in time, space, or value.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.