Triple
T21372948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Carabayllo |
E527115
|
entity |
| Predicate | hasFirstBishop |
P144015
|
FINISHED |
| Object | Lino Panizza Richero |
—
|
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: Lino Panizza Richero | Statement: [Roman Catholic Diocese of Carabayllo, hasFirstBishop, Lino Panizza Richero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstBishop Context triple: [Roman Catholic Diocese of Carabayllo, hasFirstBishop, Lino Panizza Richero]
-
A.
hasPreviousBishop
Indicates that one bishop previously held the same episcopal position or office as another bishop.
-
B.
hasBishop
Indicates that one entity possesses, is assigned, or is associated with a bishop in relation to another entity.
-
C.
hasNumberOfBishops
Indicates the relationship that specifies how many bishops are associated with a given entity.
-
D.
hasBishopStyle
Indicates that an entity possesses or is characterized by a particular style or manner associated with a bishop.
-
E.
hasAuxiliaryBishopInHistory
Indicates that an entity has had at least one auxiliary bishop at some point in its history.
- F. None of above. chosen
Provenance (4 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b18b2c81908e16beff92381160 |
completed | April 22, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:10 p.m.