Triple
T14849983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greens |
E349201
|
entity |
| Predicate | contestsElectionsAtLevel |
P115867
|
FINISHED |
| Object | federal |
—
|
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: federal | Statement: [The Greens, contestsElectionsAtLevel, federal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contestsElectionsAtLevel Context triple: [The Greens, contestsElectionsAtLevel, federal]
-
A.
electionContests
Indicates that one election is in competition with, or formally challenges the outcome or validity of, another election.
-
B.
federalLevelElection
Indicates that the election takes place at the federal (national) level of government rather than at a state, regional, or local level.
-
C.
statusOfElections
Indicates the current condition or phase of one or more elections, such as whether they are upcoming, ongoing, or completed.
-
D.
electionParticipatedIn
Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
-
E.
electoralCompetition
Indicates the degree to which multiple political candidates or parties actively contend against each other in an election for votes or office.
- F. None of above. chosen
Provenance (4 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:54 a.m.