Triple
T1333828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Galen |
E28701
|
entity |
| Predicate | hasReligionTraditionally |
P24121
|
FINISHED |
| Object | Roman Catholicism |
—
|
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: Roman Catholicism | Statement: [von Galen, hasReligionTraditionally, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionTraditionally Context triple: [von Galen, hasReligionTraditionally, Roman Catholicism]
-
A.
hasRiteOrTradition
Indicates that an entity is associated with, practices, or observes a particular rite, ritual, or tradition.
-
B.
partOfReligiousTradition
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
-
C.
hasReligiousOrigin
Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
-
D.
religiousTraditions
chosen
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
E.
dominantReligionLegacy
Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e98900819092c54c0fb58b958a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.