Triple
T18746450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nuncio |
E458417
|
entity |
| Predicate | oftenDeanOf |
P54251
|
FINISHED |
| Object | diplomatic corps in Catholic countries |
—
|
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: diplomatic corps in Catholic countries | Statement: [nuncio, oftenDeanOf, diplomatic corps in Catholic countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDeanOf Context triple: [nuncio, oftenDeanOf, diplomatic corps in Catholic countries]
-
A.
hasCathedralDean
Indicates that a specified person serves as the dean (chief cleric/administrator) of a particular cathedral.
-
B.
dean
Indicates that an entity serves as the dean (administrative or academic head) of another entity, typically a faculty, school, or department.
-
C.
deanOfCollegeOfCardinals
Indicates that one entity serves as the Dean (presiding head) of the College of Cardinals to which the other entity refers.
-
D.
formerBishop
Indicates that a person once held the position of bishop but no longer occupies that office.
-
E.
ecclesiasticalRole
chosen
Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to another entity.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57692c380819091e8a919ab6c9ca9 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.