Triple
T11916897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Visitation of Holy Mary |
E283547
|
entity |
| Predicate | typeOfInstitute |
P303
|
FINISHED |
| Object | pontifical right institute |
—
|
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: pontifical right institute | Statement: [Order of the Visitation of Holy Mary, typeOfInstitute, pontifical right institute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInstitute Context triple: [Order of the Visitation of Holy Mary, typeOfInstitute, pontifical right institute]
-
A.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
B.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
C.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
D.
universityOrganizationType
Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
-
E.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8deb14881909b65a1f159aec65f |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.