Triple
T37066832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goochland County, Colony of Virginia |
E917468
|
entity |
| Predicate | officeHeldByNamesake |
P52950
|
FINISHED |
| Object | Lieutenant Governor of Virginia |
—
|
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: Lieutenant Governor of Virginia | Statement: [Goochland County, Colony of Virginia, officeHeldByNamesake, Lieutenant Governor of Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHeldByNamesake Context triple: [Goochland County, Colony of Virginia, officeHeldByNamesake, Lieutenant Governor of Virginia]
-
A.
positionHeldByNamesake
chosen
Indicates that a position or role is held by a person who is the namesake (i.e., the person after whom something is named).
-
B.
officeHeldOf
Indicates that a specific office or position is (or was) held by a particular person or entity.
-
C.
officeHoldersWere
Indicates that certain individuals held specific offices or positions during a particular time or context.
-
D.
officeHoldersCan
Indicates that individuals holding an office are permitted or authorized to perform a specified action or exercise a particular power.
-
E.
officeHeldByTitle
Indicates that a specific office or position is occupied by a person holding a particular title.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
Created at: May 3, 2026, 4:14 p.m.