Triple
T18725433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Tech |
E457886
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Blacksburg |
—
|
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: Blacksburg | Statement: [Virginia Tech, city, Blacksburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blacksburg Context triple: [Virginia Tech, city, Blacksburg]
-
A.
Blacksburg, Virginia, United States
chosen
Blacksburg, Virginia, United States is a college town in the Appalachian region best known as the home of Virginia Tech.
-
B.
Harrisonburg, Virginia
Harrisonburg, Virginia is an independent city in the Shenandoah Valley known for its universities, vibrant downtown, and role as a regional cultural and economic center.
-
C.
Glen Allen
Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
-
D.
Radford, Virginia
Radford, Virginia is an independent city in southwestern Virginia known for being home to Radford University and its location along the New River.
-
E.
Gainesville, Virginia
Gainesville, Virginia is a rapidly growing suburban community in Prince William County, northern Virginia, known for its residential developments, shopping centers, and proximity to major commuter routes into the Washington, D.C. metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.