Triple
T983573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christian Science Journal |
E21226
|
entity |
| Predicate | religiousGenre |
P21942
|
FINISHED |
| Object | Christian magazine |
—
|
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: Christian magazine | Statement: [The Christian Science Journal, religiousGenre, Christian magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousGenre Context triple: [The Christian Science Journal, religiousGenre, Christian magazine]
-
A.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
B.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
-
C.
religiousMood
Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
-
D.
liturgicalGenre
Indicates the specific type or category of liturgical text, music, or ritual to which something belongs.
-
E.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b493f5dc819090d239c2f7e083de |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2aa219081908a6b0ef786b4aa52 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b345f890819092b51bf8128da461 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.