Triple
T16311770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Rufus building |
E396073
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Amazon office |
C37259
|
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: Amazon office Context triple: [Amazon Rufus building, instanceOf, Amazon office]
-
A.
IBM facility
An IBM facility is a physical location owned or operated by IBM where the company conducts its business activities, such as research, development, manufacturing, data center operations, or corporate services.
-
B.
Meta office building
A Meta office building is a modern, technology-driven corporate facility designed to support Meta employees with collaborative workspaces, advanced digital infrastructure, and amenities that reflect the company’s culture and operational needs.
-
C.
Amazon service
An Amazon service is a cloud-based or online offering provided by Amazon that delivers specific functionality—such as computing, storage, retail, or media—to users and businesses over the internet.
-
D.
IBM employee
An IBM employee is an individual who works for International Business Machines Corporation, contributing their skills and expertise to develop, support, or manage the company’s technology products, services, and operations.
-
E.
Google office
A Google office is a modern, collaborative workspace designed by Google that combines advanced technology, flexible work areas, and employee-focused amenities to foster innovation and productivity.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:06 a.m.