Triple
T9680934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magdalene Laundries |
E234279
|
entity |
| Predicate | lastInstitutionClosed |
P19867
|
FINISHED |
| Object | 1996 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1996 | Statement: [Magdalene Laundries, lastInstitutionClosed, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastInstitutionClosed Context triple: [Magdalene Laundries, lastInstitutionClosed, 1996]
-
A.
closedAsIndependentInstitution
Indicates that an institution has ceased operations as an independent entity, typically due to closure, merger, or absorption into another organization.
-
B.
closureYear
chosen
Indicates the year in which an entity (such as an organization, facility, or service) ceased operations or was officially closed.
-
C.
universityClosedIn
Indicates that a university ceased operations or was officially closed in a specified year or time period.
-
D.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
E.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
- F. None of above.
Provenance (3 batches)
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. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.