Triple
T241722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbnb |
E4944
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Multinational company |
C423
|
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: Multinational company Context triple: [Airbnb, instanceOf, Multinational company]
-
A.
manufacturing company
A manufacturing company is an organization that transforms raw materials or components into finished goods through industrial processes, machinery, and labor for sale to other businesses or consumers.
-
B.
company
chosen
A company is an organized entity, legally recognized or informally structured, that coordinates people and resources to produce goods or services for customers, typically in pursuit of profit or specific objectives.
-
C.
American company
An American company is a business organization that is legally registered, headquartered, or primarily operating within the United States and subject to U.S. laws and regulations.
-
D.
federally owned corporation
A federally owned corporation is a government-established legal entity that operates commercial or public service activities on behalf of the federal government while retaining a distinct corporate structure.
-
E.
multinational mission mechanism
A multinational mission mechanism is a structured framework of processes, agreements, and coordinating bodies that enables multiple countries or organizations to collaboratively plan, resource, and execute a shared mission across borders.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.