Triple
T19229898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianisation of Pomerania |
E480841
|
entity |
| Predicate | religionConvertedFrom |
P11201
|
FINISHED |
| Object | Slavic paganism |
—
|
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: Slavic paganism | Statement: [Christianisation of Pomerania, religionConvertedFrom, Slavic paganism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionConvertedFrom Context triple: [Christianisation of Pomerania, religionConvertedFrom, Slavic paganism]
-
A.
convertedToReligion
chosen
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
B.
formerReligiousAffiliation
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
-
C.
religiousAffiliationLater
Indicates that an entity’s religious affiliation at a later time is the specified religion or organization.
-
D.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
-
E.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9be0d08190afe6040e0cf9c737 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.