Triple
T20514505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish intervention in the Thirty Years' War |
E503648
|
entity |
| Predicate | opposedReligiousAlignment |
P63841
|
FINISHED |
| Object | Catholic |
—
|
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: Catholic | Statement: [Swedish intervention in the Thirty Years' War, opposedReligiousAlignment, Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedReligiousAlignment Context triple: [Swedish intervention in the Thirty Years' War, opposedReligiousAlignment, Catholic]
-
A.
opposesDeity
Indicates a relationship where an entity is in conflict with, resists, or acts against a deity.
-
B.
religiousSide
chosen
Indicates that one entity is aligned with, belongs to, or represents a particular religious faction, denomination, or side in a religious context.
-
C.
primaryOpponentsReligion
Indicates the religion or belief system followed by an entity’s main or primary opponent.
-
D.
otherRivalReligion
Indicates that one entity follows or is associated with a religion that is a rival or competing faith to the religion associated with another entity.
-
E.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4133048190abb777be4b65c2c4 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.