Triple
T7756051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City mayoral elections |
E175897
|
entity |
| Predicate | typicalElectionFrequency |
P22629
|
FINISHED |
| Object | 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: every four years | Statement: [New York City mayoral elections, typicalElectionFrequency, every four years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalElectionFrequency Context triple: [New York City mayoral elections, typicalElectionFrequency, every four years]
-
A.
legislativePeriodicity
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
-
B.
hasRegularElections
chosen
Indicates that a governing body or political entity holds elections at consistent, scheduled intervals according to established rules or norms.
-
C.
portionUpForElectionEachCycle
Indicates what fraction of the total membership or seats is contested in each election cycle.
-
D.
constitutionalFrequency
Indicates how often a constitutional or fundamental condition, symptom, or state occurs over a given period.
-
E.
nextElectionDeterminedBy
Indicates that the outcome or occurrence of the next election is decided or governed by a specified factor, rule, event, or entity.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.