Triple
T33849911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Auki |
E867592
|
entity |
| Predicate | ChristopherCardoneReligiousOrder |
P138746
|
FINISHED |
| Object | Order of Preachers |
—
|
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: Order of Preachers | Statement: [Roman Catholic Diocese of Auki, ChristopherCardoneReligiousOrder, Order of Preachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChristopherCardoneReligiousOrder Context triple: [Roman Catholic Diocese of Auki, ChristopherCardoneReligiousOrder, Order of Preachers]
-
A.
ChristopherCardoneLaterOffice
Indicates that Christopher Cardone held a subsequent or later office or position relative to an earlier one.
-
B.
ChristopherCardoneTermStart
Indicates the date on which Christopher Cardone’s term in a particular role or office begins.
-
C.
religiousOrderName
chosen
Indicates the specific name of the religious order with which an entity is affiliated or associated.
-
D.
religiousOrderCode
Indicates the specific religious order or denomination with which an entity is affiliated, represented by a standardized code.
-
E.
founderReligiousOrder
Indicates that a person established or created a particular religious order.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:47 a.m.