Triple
T10767033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VA 243 |
E253979
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Vienna, Virginia |
E21320
|
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: Vienna, Virginia | Statement: [VA 243, connectsTo, Vienna, Virginia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna, Virginia Context triple: [VA 243, connectsTo, Vienna, Virginia]
-
A.
Vienna, Virginia
chosen
Vienna, Virginia is a suburban town in Fairfax County, just outside Washington, D.C., known for its affluent residential character and proximity to major federal government agencies.
-
B.
Warsaw, Virginia
Warsaw, Virginia is a small historic town that serves as the county seat of Richmond County on Virginia’s Northern Neck peninsula.
-
C.
Urbanna, Virginia
Urbanna, Virginia is a small historic town in Middlesex County known for its colonial-era port on the Rappahannock River and annual oyster festival.
-
D.
Hamilton, Virginia
Hamilton, Virginia is a small historic town in Loudoun County known for its rural character and proximity to the Washington, D.C. metropolitan area.
-
E.
Falls Church
Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322eb2f08190999e09428e7f7ba8 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343ffc428819085599f251b7553e5 |
completed | April 18, 2026, 8:42 a.m. |
Created at: April 8, 2026, 9:16 p.m.