Triple
T26277969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy See–Hungary relations |
E660625
|
entity |
| Predicate | hasMajorReligionInHungary |
P150548
|
FINISHED |
| Object | 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: Catholicism | Statement: [Holy See–Hungary relations, hasMajorReligionInHungary, Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorReligionInHungary Context triple: [Holy See–Hungary relations, hasMajorReligionInHungary, Catholicism]
-
A.
hadMajorReligion
Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
-
B.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
isMajorReligionIn
chosen
Indicates that a religion is one of the primary or most widely practiced religions within a specified region or country.
-
D.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
E.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 26, 2026, 9:57 p.m.