Triple
T9526756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCEO |
E229777
|
entity |
| Predicate | juridicalScope |
P25835
|
FINISHED |
| Object | Eastern Catholic faithful |
—
|
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: Eastern Catholic faithful | Statement: [CCEO, juridicalScope, Eastern Catholic faithful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juridicalScope Context triple: [CCEO, juridicalScope, Eastern Catholic faithful]
-
A.
legalScope
chosen
Indicates the range, boundaries, or extent of authority, applicability, or effect that something has under a particular legal framework or rule.
-
B.
juridicalCategory
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
-
C.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
D.
legalJurisdiction
Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
-
E.
legalLicenseJurisdiction
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.