Triple
T27253289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Echter |
E687543
|
entity |
| Predicate | roleInCounterReformation |
P192423
|
FINISHED |
| Object | support of Catholic renewal in Franconia |
—
|
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: support of Catholic renewal in Franconia | Statement: [House of Echter, roleInCounterReformation, support of Catholic renewal in Franconia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCounterReformation Context triple: [House of Echter, roleInCounterReformation, support of Catholic renewal in Franconia]
-
A.
religiousReformImpact
Indicates the effect that a religious reform has on beliefs, practices, institutions, or social structures.
-
B.
roleInDechristianization
Indicates that an entity played a specific part or function in the process or campaign of dechristianization.
-
C.
typicalReligionAfterReformation
Indicates the predominant religion an entity adhered to following the Reformation period.
-
D.
underwentReformation
Indicates that an entity experienced a significant process of change, restructuring, or reform that altered its previous state or practices.
-
E.
reformationMethod
Indicates the method or process by which something is reformed, corrected, or transformed from a prior state.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: April 27, 2026, 10:47 a.m.