Triple
T41270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Virginia |
E813
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | Middleburg |
E10818
|
NE 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: Middleburg | Statement: [Northern Virginia, hasSubregion, Middleburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middleburg Context triple: [Northern Virginia, hasSubregion, Middleburg]
-
A.
Woodbridge
Woodbridge is a suburban community in Prince William County, Virginia, known for its residential neighborhoods, shopping centers, and proximity to Washington, D.C.
-
B.
Mount Vernon, Virginia
Mount Vernon, Virginia is a historic estate along the Potomac River best known as George Washington’s longtime plantation home and burial site.
-
C.
Warrenton
chosen
Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
-
D.
City of Fairfax
The City of Fairfax is a small, historic independent city in Northern Virginia that serves as a suburban community and local government center near Washington, D.C.
-
E.
Winchester
Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ae0b7c4819092220568e8e52ad5 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2981b3b508190a4cb062e4ada7891 |
completed | Feb. 28, 2026, 7:24 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.