Triple
T20056099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Jacobi Church |
E499337
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | St.-Jacobi-Kirche |
—
|
NE NERFINISHED |
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: St.-Jacobi-Kirche | Statement: [St. Jacobi Church, hasNameInLanguage, St.-Jacobi-Kirche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St.-Jacobi-Kirche Context triple: [St. Jacobi Church, hasNameInLanguage, St.-Jacobi-Kirche]
-
A.
St. Jacobi Church
St. Jacobi Church is a historic Gothic-style Lutheran church and prominent architectural landmark in the city of Göttingen, Germany.
-
B.
St. Jacobi Church
St. Jacobi Church is a historic Christian church and prominent architectural landmark in the German town of Aschersleben.
-
C.
Johanneskirche
Johanneskirche is a prominent historic church and architectural landmark located in the town of Crailsheim in southern Germany.
-
D.
Christophoruskirche
Christophoruskirche is a historic Christian church and local landmark in the town of Altenau in Germany’s Harz region.
-
E.
St. Jakobi Church
St. Jakobi Church is a historic Christian church in the town of Coesfeld, Germany, known for its traditional architecture and role as a local parish center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e663337d0c8190b82422802396cd67 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.