Triple
T219425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of New York |
E4180
|
entity |
| Predicate | ballotRelationshipToGovernor |
P8211
|
FINISHED |
| Object | joint ticket in general elections |
—
|
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: joint ticket in general elections | Statement: [Lieutenant Governor of New York, ballotRelationshipToGovernor, joint ticket in general elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ballotRelationshipToGovernor Context triple: [Lieutenant Governor of New York, ballotRelationshipToGovernor, joint ticket in general elections]
-
A.
relationshipToGovernor
Indicates the specific familial, professional, or social relationship that one entity has to a governor.
-
B.
governorAction
Indicates that a governor performs, initiates, or is responsible for a specific action or decision.
-
C.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
D.
notableGovernor
Indicates that an individual has served as a governor in a way considered historically or socially significant.
-
E.
hasLieutenantGovernor
Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
- F. None of above. chosen
Provenance (4 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c6d0fa08190810139b14f4851bc |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5357bc8190b29a48e3053fb76d |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.