Triple
T13227491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson Valley politics |
E314918
|
entity |
| Predicate | hasElectoralTrend |
P3252
|
FINISHED |
| Object | suburbs trending 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: suburbs trending Democratic | Statement: [Hudson Valley politics, hasElectoralTrend, suburbs trending Democratic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectoralTrend Context triple: [Hudson Valley politics, hasElectoralTrend, suburbs trending Democratic]
-
A.
electoralPattern
chosen
Indicates a recurring or characteristic way in which elections or voting outcomes tend to occur or be distributed across contexts.
-
B.
electoralRise
Indicates a change in a political actor’s electoral support or success, typically reflecting an increase in votes, seats, or popularity over time.
-
C.
hasElectoralStrategy
Indicates that an entity employs or is associated with a specific plan or approach for winning or influencing an election.
-
D.
hasVoterRegistrationTendency
Indicates a tendency or likelihood for an entity to register (or be registered) as a voter.
-
E.
electoralSignificance
Indicates the importance or impact that something has on an election’s outcome, dynamics, or results.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:21 p.m.