Triple
T35676915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State primary elections |
E1030883
|
entity |
| Predicate | occurBefore |
P11124
|
FINISHED |
| Object | New York general 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 general elections | Statement: [New York State primary elections, occurBefore, New York general elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occurBefore Context triple: [New York State primary elections, occurBefore, New York general elections]
-
A.
appearsBefore
chosen
Indicates that one entity occurs, is positioned, or is presented earlier in an ordered sequence than another entity.
-
B.
precededByInPosition
Indicates that one entity occurs or appears immediately before another entity in a specific ordered position or sequence.
-
C.
precedesInStability
Indicates that one entity is more stable than another, coming earlier in an ordering based on stability.
-
D.
precedesInAscent
Indicates that one entity occurs or appears earlier than another in an ordered upward or ascending sequence.
-
E.
classPrecededBy
Indicates that one class occurs or is scheduled before another class in a sequence or timetable.
- 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_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.