Triple
T27106677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Northam |
E686596
|
entity |
| Predicate | leftOfficeAsGovernorOfVirginia |
P161858
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Ralph Northam, leftOfficeAsGovernorOfVirginia, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftOfficeAsGovernorOfVirginia Context triple: [Ralph Northam, leftOfficeAsGovernorOfVirginia, 2022]
-
A.
succeededBy (Governor of Virginia)
Indicates that one individual directly followed another in holding the office of Governor of Virginia.
-
B.
succeededBy (Lieutenant Governor of Virginia)
Indicates that one individual later held the office of Lieutenant Governor of Virginia after another, directly following them in that position.
-
C.
assumedOfficeAsGovernor
Indicates that an individual formally took on and began serving in the role of governor of a specific jurisdiction.
-
D.
governorOfficeSeat
Indicates the location (seat) where a governor’s official office is situated.
-
E.
officeHeldAsGovernor
Indicates that an entity holds or has held the official position of governor of a political or administrative region.
- F. None of above. chosen
Provenance (4 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623fdda548190827d6867bba39de7 |
completed | May 2, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:51 a.m.