Triple
T5207246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sack of Magdeburg |
E117541
|
entity |
| Predicate | religiousAffiliationOfAttackers |
P26483
|
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: [Sack of Magdeburg, religiousAffiliationOfAttackers, Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationOfAttackers Context triple: [Sack of Magdeburg, religiousAffiliationOfAttackers, Catholic]
-
A.
religionOfPerpetrators
chosen
Indicates the religious affiliation or belief system associated with the individuals who carried out a particular act or offense.
-
B.
religionOfDefenders
Indicates the religious affiliation practiced or associated with the defenders in a given context.
-
C.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
E.
religiousGroupMentioned
Indicates that a religious group is referenced or mentioned in the given context or statement.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a4a7b7c8190af5a7149f8fe4f87 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.