Triple
T29648324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate election in Connecticut, 2010 |
E756064
|
entity |
| Predicate | beforeElectionSenatorParty |
P6365
|
FINISHED |
| Object | Democratic Party |
—
|
NE NERFINISHED |
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: Democratic Party | Statement: [United States Senate election in Connecticut, 2010, beforeElectionSenatorParty, Democratic Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beforeElectionSenatorParty Context triple: [United States Senate election in Connecticut, 2010, beforeElectionSenatorParty, Democratic Party]
-
A.
partyOfElectedSenator
Indicates that a given political party is the party affiliation of a specified elected senator.
-
B.
incumbentPartyBeforeElection
chosen
Indicates which political party held governing power immediately prior to a given election.
-
C.
previousPartyAffiliation
Indicates the political party or organization with which an entity was affiliated before its current or later affiliation.
-
D.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
-
E.
partyOfCandidate
Indicates the political party with which a given candidate is affiliated.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66f21ff708190b13e801de63bf603 |
completed | May 2, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:51 p.m.