Triple
T2056973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona State Legislature |
E45695
|
entity |
| Predicate | electoralSystemForHouse |
P1307
|
FINISHED |
| Object | multi-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: multi-member districts | Statement: [Arizona State Legislature, electoralSystemForHouse, multi-member districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralSystemForHouse Context triple: [Arizona State Legislature, electoralSystemForHouse, multi-member districts]
-
A.
electoralSystemContext
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
B.
votingSystemUpperHouse
Indicates a relationship where a specified voting system is used to elect or constitute the members of an upper legislative house.
-
C.
hasVotingSystemLowerHouse
chosen
Indicates that a political entity’s lower legislative chamber uses a specified voting or electoral system.
-
D.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
E.
selectionMethodUpperHouse
Indicates how members of the upper house are chosen or appointed (e.g., by election, appointment, or other selection procedures).
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9abdb088190991a620e01dc226f |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.