Triple
T5534268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in Puerto Rico |
E145121
|
entity |
| Predicate | hasPastoralStructure |
P64779
|
FINISHED |
| Object | parochial system |
—
|
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: parochial system | Statement: [Catholic Church in Puerto Rico, hasPastoralStructure, parochial system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPastoralStructure Context triple: [Catholic Church in Puerto Rico, hasPastoralStructure, parochial system]
-
A.
hasPastoralCenter
Indicates that an entity possesses or is associated with a pastoral center as one of its facilities or organizational components.
-
B.
hasPastoralMission
Indicates that an entity is responsible for providing spiritual care, guidance, or religious leadership to a community or group.
-
C.
hasTraditionalAnimalBreed
Indicates that an entity is associated with or possesses an animal that belongs to a recognized traditional breed.
-
D.
hasSocialStructure
Indicates that an entity exhibits an organized pattern of social relationships or hierarchy among its members.
-
E.
hasPaddock
Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fa0141c81909a216be9f48d64e1 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:34 p.m.