Triple
T18491074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fratres Scholarum Christianarum |
E451816
|
entity |
| Predicate | clergyStatusOfMembers |
P82459
|
FINISHED |
| Object | non-ordained religious |
—
|
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: non-ordained religious | Statement: [Fratres Scholarum Christianarum, clergyStatusOfMembers, non-ordained religious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clergyStatusOfMembers Context triple: [Fratres Scholarum Christianarum, clergyStatusOfMembers, non-ordained religious]
-
A.
clergyComposition
chosen
Indicates the makeup or distribution of different types of clergy within a religious organization or context.
-
B.
memberOfClergy
Indicates that one entity serves in an official religious or clerical role within a religious organization or institution.
-
C.
clergySystem
Indicates a relationship in which an organized religious institution or tradition has a structured system of clergy roles, ranks, or offices.
-
D.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
E.
clergyCan
Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531db64b8819089f638718dddb1dc |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.