Triple
T8027087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protestant Reformation in Denmark–Norway |
E186881
|
entity |
| Predicate | mainReligionAfter |
P10604
|
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: [Protestant Reformation in Denmark–Norway, mainReligionAfter, Lutheranism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainReligionAfter Context triple: [Protestant Reformation in Denmark–Norway, mainReligionAfter, Lutheranism]
-
A.
laterReligion
chosen
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
B.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
C.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
D.
otherMajorReligion
Indicates that an entity’s primary religious affiliation is a major religion other than the one currently in focus or being referenced.
-
E.
promotedReligion
Indicates that an entity actively supported, advocated for, or worked to spread 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecb00648190bb3144acf3492bb3 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.