Triple
T20516410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marienplatz |
E503692
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Peterskirche |
—
|
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: Peterskirche | Statement: [Marienplatz, near, Peterskirche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peterskirche Context triple: [Marienplatz, near, Peterskirche]
-
A.
Peterskirche
Peterskirche is a prominent historic church in Görlitz, Germany, known for its impressive Gothic architecture and twin towers overlooking the Neisse River.
-
B.
Peterskirche
Peterskirche is a Baroque Roman Catholic church in central Vienna, renowned for its ornate interior and historic significance.
-
C.
Peterskirche
chosen
Peterskirche is Munich’s oldest parish church, a prominent Gothic and Baroque landmark known for its tower offering panoramic views over the city and Marienplatz.
-
D.
Petrikirche
Petrikirche was a historic parish church in the former city of Cölln (now part of central Berlin), notable as one of the oldest and most important medieval churches in the area before its demolition.
-
E.
Christophoruskirche
Christophoruskirche is a historic Christian church and local landmark in the town of Altenau in Germany’s Harz region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f41eee481908121e54c7bd691ca |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.