Triple
T18654878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Soissons |
E456032
|
entity |
| Predicate | cathedralType |
P9020
|
FINISHED |
| Object | cathedral church |
—
|
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: cathedral church | Statement: [Roman Catholic Diocese of Soissons, cathedralType, cathedral church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cathedralType Context triple: [Roman Catholic Diocese of Soissons, cathedralType, cathedral church]
-
A.
cathedralChurch
Indicates that one church serves as the cathedral (principal church and episcopal seat) of another ecclesiastical jurisdiction or entity.
-
B.
cathedral
chosen
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
-
C.
hasCathedralType
Indicates that an entity is associated with, classified by, or designated as having a specific type or category of cathedral.
-
D.
cathedralFeature
Indicates that one entity is a distinctive architectural or structural feature of a cathedral.
-
E.
coCathedral
Indicates that a church shares the status and functions of a cathedral with another cathedral within the same diocese or ecclesiastical jurisdiction.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55084012881909b9dd60565011c86 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.