Triple
T8794934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of São Sebastião do Rio de Janeiro |
E209265
|
entity |
| Predicate | hasOfficialReligionType |
P645
|
FINISHED |
| Object | Catholic |
—
|
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: Catholic | Statement: [Archdiocese of São Sebastião do Rio de Janeiro, hasOfficialReligionType, Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialReligionType Context triple: [Archdiocese of São Sebastião do Rio de Janeiro, hasOfficialReligionType, Catholic]
-
A.
officialReligion
chosen
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
-
B.
hasReligiousInstitutionType
Indicates that an entity is associated with, or classified by, a specific type of religious institution.
-
C.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
D.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
E.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa0c6008190a5c4d87510ad5bbd |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:43 p.m.