Triple
T26277927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | post-communist Hungary |
E660624
|
entity |
| Predicate | religiousLandscapeChange |
P7518
|
FINISHED |
| Object | revival of religious practice |
—
|
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: revival of religious practice | Statement: [post-communist Hungary, religiousLandscapeChange, revival of religious practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousLandscapeChange Context triple: [post-communist Hungary, religiousLandscapeChange, revival of religious practice]
-
A.
religiousDemographyChange
Indicates a change over time in the religious composition or affiliation distribution within a population or region.
-
B.
religiousTrend
chosen
Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
-
C.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
-
D.
religiousAffiliationLater
Indicates that an entity’s religious affiliation at a later time is the specified religion or organization.
-
E.
religiousSpectrum
Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
- 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_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 26, 2026, 9:57 p.m.