Triple
T27209935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Superior Court District 22B |
E683969
|
entity |
| Predicate | judgesElectionMethod |
P64965
|
FINISHED |
| Object | partisan election |
—
|
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: partisan election | Statement: [North Carolina Superior Court District 22B, judgesElectionMethod, partisan election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgesElectionMethod Context triple: [North Carolina Superior Court District 22B, judgesElectionMethod, partisan election]
-
A.
judgesSelectionMethod
chosen
Indicates that a judge or judging body uses a particular method or criteria to evaluate and select among options or candidates.
-
B.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
C.
votingMethod
Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
-
D.
winnerSelectionMethod
Indicates the process or criteria used to determine which participant is chosen as the winner.
-
E.
judgesElected
Indicates that the judges in question attained their positions through an electoral process rather than by appointment or other means.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e8342c8190a809bfb169967a89 |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:39 a.m.