Triple
T36983115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California congressional district (Los Angeles County-based) |
E914885
|
entity |
| Predicate | voterRegistrationTrend |
P74812
|
FINISHED |
| Object | majority 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: majority Democratic | Statement: [California congressional district (Los Angeles County-based), voterRegistrationTrend, majority Democratic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voterRegistrationTrend Context triple: [California congressional district (Los Angeles County-based), voterRegistrationTrend, majority Democratic]
-
A.
hasVoterRegistrationTendency
chosen
Indicates a tendency or likelihood for an entity to register (or be registered) as a voter.
-
B.
voterRegistration
Indicates that an entity is formally registered and eligible to vote within a particular jurisdiction or electoral system.
-
C.
voterTurnoutChange
Indicates the amount or direction of change in voter turnout between two elections or time periods.
-
D.
usesVoterRegistration
Indicates that one entity relies on or applies another entity’s voter registration information for a particular purpose or process.
-
E.
voterRegistrationIssues
Indicates that there are problems or complications affecting an individual's ability to register or remain registered to vote.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.