Triple
T36757316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2024 United States federal elections |
E908085
|
entity |
| Predicate | occursEveryNumberOfYearsForSenateClass |
P1678
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [2024 United States federal elections, occursEveryNumberOfYearsForSenateClass, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursEveryNumberOfYearsForSenateClass Context triple: [2024 United States federal elections, occursEveryNumberOfYearsForSenateClass, 6]
-
A.
senateClassDistribution
Indicates how seats or members are allocated among the different classes of a senate (e.g., Class I, II, III) within a given context.
-
B.
isPartOfSenateClassSystem
Indicates that an entity belongs to or is categorized within a specific class or grouping of the Senate class system.
-
C.
occursEveryNumberOfYearsForPresidency
Indicates that a recurring event related to a presidency happens at a regular interval measured in years.
-
D.
legislativePeriodicity
chosen
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
-
E.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.