Triple
T31521753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Burr |
E804223
|
entity |
| Predicate | didNotRunForReelection |
P124388
|
FINISHED |
| Object | 2022 United States Senate election in North Carolina |
—
|
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: 2022 United States Senate election in North Carolina | Statement: [Richard Burr, didNotRunForReelection, 2022 United States Senate election in North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotRunForReelection Context triple: [Richard Burr, didNotRunForReelection, 2022 United States Senate election in North Carolina]
-
A.
didNotSeekReelection
chosen
Indicates that an officeholder chose not to run again for their current position at the end of their term.
-
B.
notElectedBy
Indicates that an individual or entity did not attain a position, role, or status through the voting or selection process of a specified group or electorate.
-
C.
ranInElection
Indicates that an entity was a candidate participating in a specific election.
-
D.
incumbentRanForReelection
Indicates that a current officeholder sought to be elected again to the same position in a subsequent election.
-
E.
losesElectionFor
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:56 p.m.