Triple
T32071982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French municipal elections |
E819034
|
entity |
| Predicate | mayorElectionMethod |
P97403
|
FINISHED |
| Object | indirect election by municipal council |
—
|
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: indirect election by municipal council | Statement: [French municipal elections, mayorElectionMethod, indirect election by municipal council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayorElectionMethod Context triple: [French municipal elections, mayorElectionMethod, indirect election by municipal council]
-
A.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
B.
votingMethod
Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
-
C.
governorSelectionMethod
Indicates the method or process by which a governor is chosen or comes into office.
-
D.
mayorSelection
chosen
Indicates the process or outcome of choosing or appointing someone to serve as mayor of a place.
-
E.
electionFunction
Indicates a relationship where an entity serves as the mechanism, process, or method by which an election is conducted or its outcome is determined.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b527055481909f1f26c7230ed670 |
completed | May 3, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:23 a.m.