Triple
T6363533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Council (Germany) |
E143169
|
entity |
| Predicate | numberOfVotesPerStateDependsOn |
P70213
|
FINISHED |
| Object | population of the Land |
—
|
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: population of the Land | Statement: [Federal Council (Germany), numberOfVotesPerStateDependsOn, population of the Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVotesPerStateDependsOn Context triple: [Federal Council (Germany), numberOfVotesPerStateDependsOn, population of the Land]
-
A.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
B.
hasElectoralVotes
Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
-
C.
numberOfStatesRepresented
Indicates how many distinct states are represented or covered in a given context or entity.
-
D.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
E.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680d51a4819098a6bcd3dfd73be4 |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:32 p.m.