Triple
T7040874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Cambridge Partnership |
E163506
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | public-sector collaboration |
C20696
|
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: public-sector collaboration Context triple: [Greater Cambridge Partnership, instanceOf, public-sector collaboration]
-
A.
innovation partnership
An innovation partnership is a collaborative relationship between organizations or individuals formed to co-create, develop, and implement new ideas, technologies, or solutions that deliver mutual value.
-
B.
university collaboration
University collaboration is the structured partnership between universities and external entities (such as other academic institutions, industry, government, or communities) to jointly pursue research, education, innovation, and resource sharing.
-
C.
public–private partnership company
A public–private partnership company is an entity formed through collaboration between government and private sector organizations to finance, build, and operate projects or services traditionally provided by the public sector.
-
D.
scientific collaboration board
A scientific collaboration board is a shared digital or physical workspace where researchers coordinate projects, exchange data and ideas, track progress, and manage collaborative tasks across institutions and disciplines.
-
E.
public health partnership
A public health partnership is a collaborative alliance among governmental agencies, community organizations, healthcare providers, and other stakeholders that coordinates resources and efforts to improve population health outcomes and address public health challenges.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:36 p.m.