Triple
T35676930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State primary elections |
E1030883
|
entity |
| Predicate | resultCertificationBy |
P190512
|
FINISHED |
| Object | New York State Board of Elections |
—
|
NE NERFINISHED |
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: New York State Board of Elections | Statement: [New York State primary elections, resultCertificationBy, New York State Board of Elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultCertificationBy Context triple: [New York State primary elections, resultCertificationBy, New York State Board of Elections]
-
A.
resultCertification
chosen
Indicates that a particular result has been formally certified or validated by an authorized party.
-
B.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
C.
courseCertification
Indicates that an entity has been formally certified as having successfully completed a particular course.
-
D.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
E.
relatedCertification
Indicates that one certification is associated with, connected to, or relevant to another certification in some meaningful way.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:05 p.m.