Triple
T26271299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farragut Crossing (virtual tunnel) |
E660429
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | virtual tunnel |
C27533
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: virtual tunnel Context triple: [Farragut Crossing (virtual tunnel), instanceOf, virtual tunnel]
-
A.
tunneling system
A tunneling system is a conceptual framework or infrastructure that enables data, particles, or signals to pass through barriers or intermediate layers via a protected or probabilistic pathway without directly traversing the intervening space in a conventional manner.
-
B.
tunnel portal
A tunnel portal is the structural entrance or exit of a tunnel where the underground passage meets the open environment, often designed to manage loads, drainage, and traffic transition.
-
C.
virtual private network software
chosen
Virtual private network software is an application that securely routes a user's internet traffic through encrypted tunnels via remote servers to protect privacy, enhance security, and enable access to restricted or geo-blocked resources.
-
D.
virtual warehouse
A virtual warehouse is a digital system that aggregates, tracks, and manages inventory across multiple physical or logical locations as if it were a single, unified storage facility.
-
E.
virtual networking service
A virtual networking service is a cloud-based platform that creates, manages, and secures software-defined network connections between distributed systems, users, and resources without relying on traditional physical networking hardware.
- F. None of above.
Provenance (1 batch)
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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 26, 2026, 9:50 p.m.