Triple
T9206595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walther Nernst |
E220995
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Briesen |
E220995
|
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: Briesen | Statement: [Walther Nernst, placeOfBirth, Briesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briesen Context triple: [Walther Nernst, placeOfBirth, Briesen]
-
A.
Briesen
chosen
Briesen is a small town in present-day Germany best known as the birthplace of Nobel Prize–winning chemist Walther Nernst.
-
B.
Bielkenfeld
Bielkenfeld is a locality in the historical region of Prussia, known as the birthplace of the German field marshal and military writer Colmar Freiherr von der Goltz.
-
C.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
D.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b0b6788190908bee67a0c5d48f |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152586ca08190854463dfdd1f727c |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:26 p.m.