Triple
T16403793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt (old town) of Nuremberg |
E398371
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | St. Lorenz Church |
E87314
|
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: St. Lorenz Church | Statement: [Altstadt (old town) of Nuremberg, hasPart, St. Lorenz Church]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Lorenz Church Context triple: [Altstadt (old town) of Nuremberg, hasPart, St. Lorenz Church]
-
A.
St. Lorenz Church
chosen
St. Lorenz Church is a major medieval Gothic church in Nuremberg, Germany, renowned for its impressive architecture and significant religious artworks.
-
B.
St. Blasius Church
St. Blasius Church is a historic parish church and prominent architectural landmark in the town of Hann. Münden in Lower Saxony, Germany.
-
C.
St. Bonifatius Church
St. Bonifatius Church is a prominent Catholic parish church and historical landmark in the town of Lingen, Germany.
-
D.
St. Ulrich Church
St. Ulrich Church is a notable Christian church in Kreuzlingen, Switzerland, recognized as a prominent local place of worship and historical landmark.
-
E.
St. Marien church
St. Marien church is a historic Christian church and prominent architectural landmark located in the town of Marienberg, Germany.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d12dc08190a5b497692b667ed7 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f439d048190bf779cb263b7c7a7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:09 a.m.