Triple
T26245325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Senate election in Ohio, 2022 |
E656428
|
entity |
| Predicate | reasonSeatOpen |
P117566
|
FINISHED |
| Object | retirement of incumbent Senator Rob Portman |
—
|
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: retirement of incumbent Senator Rob Portman | Statement: [U.S. Senate election in Ohio, 2022, reasonSeatOpen, retirement of incumbent Senator Rob Portman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonSeatOpen Context triple: [U.S. Senate election in Ohio, 2022, reasonSeatOpen, retirement of incumbent Senator Rob Portman]
-
A.
reasonForOpenSeat
chosen
Indicates the circumstance or cause that explains why a particular seat is currently unoccupied or available.
-
B.
otherSeat
Indicates that one entity is the alternative or different seat relative to another seat in a given context.
-
C.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
-
D.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
E.
seatVacatedBy
Indicates that a particular seat has been freed or relinquished as a result of an action performed by a specific entity.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 26, 2026, 9:05 p.m.