Triple
T9142980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1978 United States elections |
E219375
|
entity |
| Predicate | governorRacesContestedApprox |
P11588
|
FINISHED |
| Object | about one-third of U.S. governorships |
—
|
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: about one-third of U.S. governorships | Statement: [1978 United States elections, governorRacesContestedApprox, about one-third of U.S. governorships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorRacesContestedApprox Context triple: [1978 United States elections, governorRacesContestedApprox, about one-third of U.S. governorships]
-
A.
hasOfficeContested
Indicates that an individual has been a candidate for a particular public office in an election.
-
B.
featuredIncumbentGovernorRunning
Indicates that the highlighted or primary subject is the current sitting governor who is running for election or re-election.
-
C.
electionContests
Indicates that one election is in competition with, or formally challenges the outcome or validity of, another election.
-
D.
numberOfSeatsContested
chosen
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
-
E.
wasContestedBetween
Indicates that an event, position, or resource was the subject of competition or dispute involving two or more opposing parties.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f5f740819098236ada5b95889d |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.