Triple
T31887711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Shepherd Sisters |
E814049
|
entity |
| Predicate | operatedInstitutionType |
P87684
|
FINISHED |
| Object | Magdalene Laundry |
—
|
NE NERFINISHED |
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: Magdalene Laundry | Statement: [Good Shepherd Sisters, operatedInstitutionType, Magdalene Laundry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInstitutionType Context triple: [Good Shepherd Sisters, operatedInstitutionType, Magdalene Laundry]
-
A.
operatedByInstitutionType
chosen
Indicates that an entity is run, managed, or controlled by an institution of a specified type (e.g., government, private, nonprofit).
-
B.
operatesInstitution
Indicates that an entity manages and runs the activities or services of an institution.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
E.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
Created at: April 30, 2026, 11:57 p.m.