Triple
T46931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Senate |
E919
|
entity |
| Predicate | roleOfLieutenantGovernor |
P209
|
FINISHED |
| Object | President of the New York State 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: President of the New York State Senate | Statement: [New York State Senate, roleOfLieutenantGovernor, President of the New York State Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfLieutenantGovernor Context triple: [New York State Senate, roleOfLieutenantGovernor, President of the New York State Senate]
-
A.
hasLieutenantGovernor
chosen
Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
-
B.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
C.
vicePresident
Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
-
D.
governorAction
Indicates that a governor performs, initiates, or is responsible for a specific action or decision.
-
E.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b1bf2c081908f20e13939b713ff |
completed | Feb. 28, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69a24abd07508190a83ffba5368c1c79 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.