Triple
T38312049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California's 32nd congressional district |
E1033714
|
entity |
| Predicate | hasPartyLeaning |
P94768
|
FINISHED |
| Object | Democratic |
—
|
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: Democratic | Statement: [California's 32nd congressional district, hasPartyLeaning, Democratic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartyLeaning Context triple: [California's 32nd congressional district, hasPartyLeaning, Democratic]
-
A.
hasStrongPartyLean
chosen
Indicates that an entity consistently favors or aligns strongly with a particular political party.
-
B.
affectedPoliticalParty
Indicates that a political party is impacted or influenced by a particular event, action, policy, or situation.
-
C.
partnerPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
-
D.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
E.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.