Triple
T14755490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohlmarkt |
E346718
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Michaelerkirche |
E938531
|
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: Michaelerkirche | Statement: [Kohlmarkt, near, Michaelerkirche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaelerkirche Context triple: [Kohlmarkt, near, Michaelerkirche]
-
A.
Michaelerkirche
chosen
Michaelerkirche is a historic Roman Catholic church in the Austrian city of Steyr, noted for its prominent architecture and cultural significance.
-
B.
Marienkirche
Marienkirche is a historic medieval church in central Berlin, known as one of the city’s oldest surviving churches and a notable example of Brick Gothic architecture.
-
C.
Marienkirche
Marienkirche is a historic St. Mary’s Church located in the German town of Mühlhausen, known for its Gothic architecture and cultural significance.
-
D.
Marienkirche
Marienkirche is a historic church in the German town of Wolfenbüttel, notable for its architectural and cultural significance.
-
E.
Liebfrauenkirche
Liebfrauenkirche is a prominent historic Catholic church in Ravensburg, Germany, noted for its distinctive tower and late Gothic 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24afff788190ab4925ead7ce90d2 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.