Triple
T7704869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edict of Saint-Germain (1562) |
E174587
|
entity |
| Predicate | religionTolerated |
P7601
|
FINISHED |
| Object | Calvinism |
—
|
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: Calvinism | Statement: [Edict of Saint-Germain (1562), religionTolerated, Calvinism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionTolerated Context triple: [Edict of Saint-Germain (1562), religionTolerated, Calvinism]
-
A.
religionDiversity
Indicates the degree to which multiple distinct religions are present and represented within a given context or group.
-
B.
religiousReception
Indicates a relationship where one entity formally receives, welcomes, or hosts another in a specifically religious or faith-based context.
-
C.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
-
D.
religionPolicy
chosen
Indicates the stance, rules, or approach an entity adopts toward religious beliefs, practices, or institutions.
-
E.
bearerReligion
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.