Triple
T357488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York's 28th congressional district |
E7575
|
entity |
| Predicate | eliminationMethod |
P8791
|
FINISHED |
| Object | congressional redistricting |
—
|
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: congressional redistricting | Statement: [New York's 28th congressional district, eliminationMethod, congressional redistricting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eliminationMethod Context triple: [New York's 28th congressional district, eliminationMethod, congressional redistricting]
-
A.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
-
B.
admitsSolution
Indicates that a problem, system, or situation allows for or possesses at least one valid solution.
-
C.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
-
D.
commonlySolvedBy
chosen
Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
-
E.
loserElimination
Indicates that the entity identified as the loser in a competition, game, or contest is removed or disqualified from further participation.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebb0e348819086e3ccd96c7b129e |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e959ce948190a201c017eecb7c95 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.