Triple
T6991573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan 9 from Bell Labs |
E162097
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distributed operating system |
C21890
|
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: distributed operating system Context triple: [Plan 9 from Bell Labs, instanceOf, distributed operating system]
-
A.
distributed system
A distributed system is a collection of independent computers that appear to users as a single coherent system by coordinating and communicating over a network to achieve common goals.
-
B.
distributed systems problem
A distributed systems problem is a challenge that arises from coordinating multiple independent computing nodes to work together reliably, efficiently, and consistently despite failures, latency, and partial information.
-
C.
distributed object technology
Distributed object technology is a software architecture paradigm that enables objects located on different networked computers to interact with each other as if they were local, supporting remote method invocation, transparency, and interoperability across distributed systems.
-
D.
distributed cache
A distributed cache is a system that stores frequently accessed data across multiple networked servers or nodes to improve performance, scalability, and fault tolerance in distributed applications.
-
E.
multiuser operating system
A multiuser operating system is a software environment that allows multiple users to access and use a computer system's resources simultaneously and independently, typically through separate user accounts and sessions.
- F. None of above. chosen
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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:32 p.m.