Triple
T37638593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | re-Catholicization of Bohemia |
E936552
|
entity |
| Predicate | religionSuppressed |
P175891
|
FINISHED |
| Object | Utraquism |
—
|
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: Utraquism | Statement: [re-Catholicization of Bohemia, religionSuppressed, Utraquism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionSuppressed Context triple: [re-Catholicization of Bohemia, religionSuppressed, Utraquism]
-
A.
persecutedReligion
chosen
Indicates that a religious group or belief system is subjected to systematic oppression, discrimination, or violence because of its religious identity or practices.
-
B.
reveredByReligion
Indicates that a religion holds a particular entity in high esteem, veneration, or sacred regard.
-
C.
allegedReligion
Indicates that one entity is claimed or reported to be associated with a particular religion, without asserting that the claim is true.
-
D.
religiousOrderSuppressed
Indicates that a religious order has been officially dissolved, abolished, or prohibited by an authority.
-
E.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
Created at: May 3, 2026, 4:18 p.m.