Triple
T9680919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magdalene Laundries |
E234279
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | network of institutions |
C11297
|
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: network of institutions Context triple: [Magdalene Laundries, instanceOf, network of institutions]
-
A.
network of universities
A network of universities is an interconnected system of higher education institutions that collaborate to share resources, research, programs, and expertise across organizational and geographic boundaries.
-
B.
group of institutions
chosen
A group of institutions is a collection of formally organized entities, such as schools, hospitals, or government bodies, that are associated or coordinated for a common purpose or function.
-
C.
public institution
A public institution is an organization established and funded by the government to provide services, regulation, or governance for the benefit of the general public.
-
D.
consortium of colleges
A consortium of colleges is a collaborative association of independent higher education institutions that coordinate resources, programs, and services to enhance academic offerings and operational efficiency for their students and faculty.
-
E.
network of financial institutions
A network of financial institutions is an interconnected system of banks, investment firms, insurers, and other financial entities that interact through transactions, contracts, and information flows to facilitate the movement of capital and manage financial risk.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:16 p.m.