Triple
T3875146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personal Prelature of Ayaviri |
E92482
|
entity |
| Predicate | underPastoralCareOf |
P28603
|
FINISHED |
| Object | prelate of Ayaviri |
—
|
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: prelate of Ayaviri | Statement: [Personal Prelature of Ayaviri, underPastoralCareOf, prelate of Ayaviri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underPastoralCareOf Context triple: [Personal Prelature of Ayaviri, underPastoralCareOf, prelate of Ayaviri]
-
A.
hasPastoralCenter
Indicates that an entity possesses or is associated with a pastoral center as one of its facilities or organizational components.
-
B.
underAuspicesOf
Indicates that an action, event, or entity operates under the sponsorship, authority, or guidance of another party.
-
C.
adoptedUnder
Indicates that something has been formally accepted, implemented, or brought into effect according to a specified rule, procedure, or authority.
-
D.
tookCareOf
chosen
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
E.
adopts
Indicates that one entity formally takes another into its care, control, or use, assuming ongoing responsibility or ownership.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.