Triple
T24153454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King and Queen County, Virginia |
E598604
|
entity |
| Predicate | hasCountySeatCommunityType |
P154801
|
FINISHED |
| Object | unincorporated community |
—
|
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: unincorporated community | Statement: [King and Queen County, Virginia, hasCountySeatCommunityType, unincorporated community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountySeatCommunityType Context triple: [King and Queen County, Virginia, hasCountySeatCommunityType, unincorporated community]
-
A.
hasCountySeatCounty
Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
-
B.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
-
C.
containsCountySeat
Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
-
D.
hasCountySeatFeature
Indicates that a county has a specific feature serving as its official county seat (administrative center).
-
E.
hasCountySeatRelation
Indicates that a specific place serves as the county seat (administrative center) of a particular county.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e2e83081908e543ef266a27ec9 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:31 p.m.