Triple
T19068158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerusalem of the Balkans |
E466719
|
entity |
| Predicate | religiousHeritageType |
P34373
|
FINISHED |
| Object | Christian sacred architecture |
—
|
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: Christian sacred architecture | Statement: [Jerusalem of the Balkans, religiousHeritageType, Christian sacred architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousHeritageType Context triple: [Jerusalem of the Balkans, religiousHeritageType, Christian sacred architecture]
-
A.
religiousSiteType
chosen
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
B.
religiousServiceType
Indicates the specific kind or category of religious service associated with an event or context.
-
C.
ecclesiasticalType
Indicates the specific ecclesiastical category or classification that applies to a religious entity within a church hierarchy.
-
D.
religiousBuildingInstanceOf
Indicates that a specific religious building is an instance of a particular class or type of religious building.
-
E.
hasReligiousInstitutionType
Indicates that an entity is associated with, or classified by, a specific type of religious institution.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19b94d08190865b62d98f718bb0 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.