Triple
T33838241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Suebi |
E867292
|
entity |
| Predicate | religionInitially |
P180547
|
FINISHED |
| Object | 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: paganism | Statement: [King of the Suebi, religionInitially, paganism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionInitially Context triple: [King of the Suebi, religionInitially, paganism]
-
A.
initiallyWorships
chosen
Indicates that one entity worships another at the beginning of a specified time period or process.
-
B.
religionIntroduced
Indicates that one entity brought or established a particular religion or religious tradition to another entity, place, or group for the first time.
-
C.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
D.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
E.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff3fb2318c81908a46c2f513608935 |
completed | May 9, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69ff3e96dcc48190819f6204680d84aa |
completed | May 9, 2026, 2:03 p.m. |
Created at: May 1, 2026, 1:47 a.m.