Triple
T2867901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut State Senate |
E63483
|
entity |
| Predicate | electoralSystemLevel |
P39112
|
FINISHED |
| Object | single-member districts |
—
|
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: single-member districts | Statement: [Connecticut State Senate, electoralSystemLevel, single-member districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralSystemLevel Context triple: [Connecticut State Senate, electoralSystemLevel, single-member districts]
-
A.
electorateLevel
Indicates the degree or tier of political constituency or voting body at which a decision, representation, or electoral process is defined or applied.
-
B.
electoralSystemForLegislature
chosen
Indicates the type of electoral system used to choose members of a particular legislature.
-
C.
electoralSystemContext
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
D.
electoralSystemConcerned
Indicates that something is related to, affected by, or focused on a particular electoral system.
-
E.
federalLevelElection
Indicates that the election takes place at the federal (national) level of government rather than at a state, regional, or local level.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbcebcc81909a78a1787d823e3e |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.