Triple
T219428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of New York |
E4180
|
entity |
| Predicate | canBeReelected |
P8212
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lieutenant Governor of New York, canBeReelected, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeReelected Context triple: [Lieutenant Governor of New York, canBeReelected, yes]
-
A.
reElectedToPresidency
Indicates that an individual, having previously served as president, is chosen again to hold the office of the presidency.
-
B.
reappointedHolder
Indicates that an entity is again assigned or confirmed to hold a position, role, or office that it previously occupied.
-
C.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
-
D.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
-
E.
reappointmentPolicy
Indicates the rules or conditions governing whether and how an individual can be reappointed to a position or role.
- 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.