Triple
T27106678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Northam |
E686596
|
entity |
| Predicate | servedAsLieutenantGovernorOfVirginiaFrom |
P186443
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Ralph Northam, servedAsLieutenantGovernorOfVirginiaFrom, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsLieutenantGovernorOfVirginiaFrom Context triple: [Ralph Northam, servedAsLieutenantGovernorOfVirginiaFrom, 2014]
-
A.
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.
-
B.
succeededBy (Governor of Virginia)
Indicates that one individual directly followed another in holding the office of Governor of Virginia.
-
C.
leftOfficeAsGovernorOfVirginia
Indicates that an individual ceased serving in the official role of Governor of Virginia.
-
D.
servedAsVicePresidentFrom
Indicates that one entity held the position of vice president for another entity during a specified time period.
-
E.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
- 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_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: April 27, 2026, 8:51 a.m.