Triple
T1671933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2024 United States presidential election |
E36144
|
entity |
| Predicate | followsElectionCycle |
P2971
|
FINISHED |
| Object | four-year cycle |
—
|
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: four-year cycle | Statement: [2024 United States presidential election, followsElectionCycle, four-year cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsElectionCycle Context triple: [2024 United States presidential election, followsElectionCycle, four-year cycle]
-
A.
electionCycle
chosen
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
B.
providedForElectionOf
Indicates that one entity supplied resources, support, or services specifically to facilitate or influence the election of another entity.
-
C.
predecessorElection
Indicates that one election immediately preceded another in a temporal or sequential order.
-
D.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
E.
evaluationCycle
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.