Triple
T21154356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada's 1st congressional district |
E521273
|
entity |
| Predicate | hasVoterRegistrationTrend |
P92413
|
FINISHED |
| Object | majority Democratic registration |
—
|
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 registration | Statement: [Nevada's 1st congressional district, hasVoterRegistrationTrend, majority Democratic registration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVoterRegistrationTrend Context triple: [Nevada's 1st congressional district, hasVoterRegistrationTrend, majority Democratic registration]
-
A.
hasVoterRegistrationTendency
Indicates a tendency or likelihood for an entity to register (or be registered) as a voter.
-
B.
hasVoterRegister
Indicates that an entity maintains or possesses an official register or list of eligible voters.
-
C.
hasVoterRegistrationPattern
chosen
Indicates that there is a characteristic or recurring pattern in how an entity is registered or tends to register to vote.
-
D.
usesVoterRegistration
Indicates that one entity relies on or applies another entity’s voter registration information for a particular purpose or process.
-
E.
voterTurnoutChange
Indicates the amount or direction of change in voter turnout between two elections or time periods.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252a48788190bfdfe811fc6cfc06 |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.