Triple
T27200939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontificium Consilium de Nova Evangelizatione Promovenda |
E683733
|
entity |
| Predicate | primaryTargetRegions |
P110234
|
FINISHED |
| Object | traditionally Christian countries |
—
|
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: traditionally Christian countries | Statement: [Pontificium Consilium de Nova Evangelizatione Promovenda, primaryTargetRegions, traditionally Christian countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTargetRegions Context triple: [Pontificium Consilium de Nova Evangelizatione Promovenda, primaryTargetRegions, traditionally Christian countries]
-
A.
typicalTargetRegion
chosen
Indicates the region or area that an action, process, or effect is most commonly directed toward or occurs in.
-
B.
includedRegions
Indicates that certain regions are contained within, or form part of, a larger specified region or set of regions.
-
C.
associatedRegions
Indicates that there is a relevant connection or linkage between an entity and one or more geographic or administrative regions.
-
D.
primaryHubRegion
Indicates that a given region serves as the main or central hub location for an entity or system.
-
E.
appliesPrimarilyToSubregion
Indicates that something is mainly relevant or applicable to a specific subregion within a larger area or entity.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
Created at: April 27, 2026, 9:36 a.m.