Triple
T24529645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Senate election in Nebraska |
E606766
|
entity |
| Predicate | openSeatReason |
P117566
|
FINISHED |
| Object | retirement of Ben Nelson |
—
|
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 Ben Nelson | Statement: [2012 United States Senate election in Nebraska, openSeatReason, retirement of Ben Nelson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openSeatReason Context triple: [2012 United States Senate election in Nebraska, openSeatReason, retirement of Ben Nelson]
-
A.
reasonForOpenSeat
chosen
Indicates the circumstance or cause that explains why a particular seat is currently unoccupied or available.
-
B.
seatVacatedBy
Indicates that a particular seat has been freed or relinquished as a result of an action performed by a specific entity.
-
C.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
-
D.
otherSeat
Indicates that one entity is the alternative or different seat relative to another seat in a given context.
-
E.
seatOwnedBy
Indicates that a particular seat is possessed or held in ownership 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.