Triple
T5576121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Fajardo–Humacao |
E146322
|
entity |
| Predicate | hasInstitutions |
P64535
|
FINISHED |
| Object | parishes |
—
|
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: parishes | Statement: [Roman Catholic Diocese of Fajardo–Humacao, hasInstitutions, parishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutions Context triple: [Roman Catholic Diocese of Fajardo–Humacao, hasInstitutions, parishes]
-
A.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
B.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
E.
hasStateInstitution
Indicates that a particular state possesses, governs, or is served by a specific institution operating under its authority or within its jurisdiction.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02067e8d8819090a006cb266da5fe |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:37 p.m.