Triple
T13275444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Nevada |
E316175
|
entity |
| Predicate | votingRoleInSenate |
P78466
|
FINISHED |
| Object | casts tie-breaking votes in Nevada Senate |
—
|
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: casts tie-breaking votes in Nevada Senate | Statement: [Lieutenant Governor of Nevada, votingRoleInSenate, casts tie-breaking votes in Nevada Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingRoleInSenate Context triple: [Lieutenant Governor of Nevada, votingRoleInSenate, casts tie-breaking votes in Nevada Senate]
-
A.
hasVotingRightInSenate
chosen
Indicates that an entity possesses the legal right to participate in voting within a senate body.
-
B.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
-
C.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
-
D.
votingPowerPerSenator
Indicates the amount of voting influence or weight assigned to each individual senator in a decision-making process.
-
E.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.