Triple
T13603785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faulkner Act mayor–council |
E325007
|
entity |
| Predicate | mayorSelectionMethod |
P97403
|
FINISHED |
| Object | direct election by voters |
—
|
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: direct election by voters | Statement: [Faulkner Act mayor–council, mayorSelectionMethod, direct election by voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayorSelectionMethod Context triple: [Faulkner Act mayor–council, mayorSelectionMethod, direct election by voters]
-
A.
mayorSelection
chosen
Indicates the process or outcome of choosing or appointing someone to serve as mayor of a place.
-
B.
governorSelectionMethod
Indicates the method or process by which a governor is chosen or comes into office.
-
C.
mayorAppointment
Indicates that one entity appoints or designates another entity to serve in the role of mayor.
-
D.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
E.
mayorType
Indicates the specific category or role classification of a mayor in relation to their office or jurisdiction.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.