Triple
T10409878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union of Sweden and Polish–Lithuanian Commonwealth under personal union |
E245359
|
entity |
| Predicate | hasReligionInSweden |
P92064
|
FINISHED |
| Object | Lutheranism |
—
|
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: Lutheranism | Statement: [Union of Sweden and Polish–Lithuanian Commonwealth under personal union, hasReligionInSweden, Lutheranism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionInSweden Context triple: [Union of Sweden and Polish–Lithuanian Commonwealth under personal union, hasReligionInSweden, Lutheranism]
-
A.
religionInCountry
chosen
Indicates that a particular religion is practiced, present, or recognized within a specified country.
-
B.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
C.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
D.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
E.
laterReligionDominant
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fb98748190a3a6c161edd8f400 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:09 p.m.