Triple
T6710677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reston Town Center station |
E153131
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Reston |
E29704
|
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: Reston | Statement: [Reston Town Center station, city, Reston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reston Context triple: [Reston Town Center station, city, Reston]
-
A.
Reston
Reston is a small rural village in the Scottish Borders region of southeastern Scotland.
-
B.
Reston
chosen
Reston is a planned community in Fairfax County, Virginia, known for its pioneering mixed-use design, extensive green spaces, and vibrant residential and commercial centers.
-
C.
Leesburg
Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
-
D.
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.
-
E.
Herndon
Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d107380481909cc761dc182834c1 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77521651c8190aa10d3a7302e2a63 |
completed | March 28, 2026, 6:28 a.m. |
Created at: March 27, 2026, 2:06 p.m.