Triple
T32443371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Senate election in Virginia |
E829073
|
entity |
| Predicate | seatIncumbent |
P136050
|
FINISHED |
| Object | Jim Webb |
—
|
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: Jim Webb | Statement: [2012 United States Senate election in Virginia, seatIncumbent, Jim Webb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatIncumbent Context triple: [2012 United States Senate election in Virginia, seatIncumbent, Jim Webb]
-
A.
currentDeFactoSeat
Indicates the location that currently functions in practice as the seat (e.g., capital, headquarters, or main office) of an entity, regardless of its official or legally designated seat.
-
B.
incumbentOffice
Indicates that a person currently holds and serves in a specified office or position.
-
C.
incumbentPosition
chosen
Indicates that a person currently holds or occupies a specific position, office, or role.
-
D.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
E.
seatInGovernment
Indicates that an entity holds an official position or membership within a governmental body or institution.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e3d0108190bd5ecee75e662368 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:55 a.m.