Triple
T30243713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Séminaire de Québec |
E768994
|
entity |
| Predicate | cityDiocese |
P32444
|
FINISHED |
| Object | Roman Catholic Archdiocese of Quebec |
—
|
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: Roman Catholic Archdiocese of Quebec | Statement: [Grand Séminaire de Québec, cityDiocese, Roman Catholic Archdiocese of Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDiocese Context triple: [Grand Séminaire de Québec, cityDiocese, Roman Catholic Archdiocese of Quebec]
-
A.
diocese
Indicates that one entity serves as the ecclesiastical district or jurisdiction under the authority of a bishop to which the other entity is related or belongs.
-
B.
administrativeDiocese
chosen
Indicates that one entity serves as the ecclesiastical administrative diocese responsible for the governance or oversight of another entity.
-
C.
isDiocesanSeatOf
Indicates that a location serves as the central administrative seat or headquarters of a particular diocese.
-
D.
dioceseBishop
Indicates that a person serves as the bishop (ecclesiastical leader) of a specified diocese.
-
E.
dioceseType
Indicates the specific ecclesiastical category or kind of diocese that an entity belongs to.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68051edc48190b76a740d8ce2fa51 |
completed | May 2, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:39 p.m.