Triple
T19493018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of Freiburg |
E487698
|
entity |
| Predicate | usesCathedralAs |
P79002
|
FINISHED |
| Object | seat of the archbishop |
—
|
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: seat of the archbishop | Statement: [Archdiocese of Freiburg, usesCathedralAs, seat of the archbishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCathedralAs Context triple: [Archdiocese of Freiburg, usesCathedralAs, seat of the archbishop]
-
A.
usesCathedralFor
Indicates that an entity employs or makes use of a cathedral for a particular purpose or activity.
-
B.
cathedralChurch
Indicates that one church serves as the cathedral (principal church and episcopal seat) of another ecclesiastical jurisdiction or entity.
-
C.
usesCathedralAsSee
chosen
Indicates that a religious jurisdiction or authority has a particular cathedral as the location of its episcopal seat (its see).
-
D.
cathedralSince
Indicates that an entity has held the status or function of a cathedral continuously from a specified point in time onward.
-
E.
cathedral
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.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.