Triple
T10279957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Feldkirch |
E241070
|
entity |
| Predicate | cathedralCity |
P9022
|
FINISHED |
| Object | Feldkirch |
E501355
|
NE 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: Feldkirch | Statement: [Diocese of Feldkirch, cathedralCity, Feldkirch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feldkirch Context triple: [Diocese of Feldkirch, cathedralCity, Feldkirch]
-
A.
Feldkirch
chosen
Feldkirch is a historic medieval town in western Austria near the borders with Switzerland and Liechtenstein, known for its well-preserved old town and the hilltop Schattenburg castle.
-
B.
Bludenz
Bludenz is a small alpine town in western Austria known as a regional hub for skiing, hiking, and chocolate production.
-
C.
Dornbirn
Dornbirn is a major Austrian city in the western state of Vorarlberg, known as an important economic and educational center near the borders with Switzerland and Germany.
-
D.
Kufstein
Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
-
E.
Bregenz
Bregenz is an Austrian city on the eastern shore of Lake Constance, known for its lakeside setting, cultural festivals, and contemporary art and architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794b9b1d881908c55aa50da68ae75 |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:38 a.m.