Triple
T9584437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Bauer |
E231251
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Rixdorf |
E554349
|
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: Rixdorf | Statement: [Bruno Bauer, placeOfDeath, Rixdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rixdorf Context triple: [Bruno Bauer, placeOfDeath, Rixdorf]
-
A.
Rixdorf
chosen
Rixdorf is a historic district in Berlin, Germany, known for its 18th-century Bohemian settlement and well-preserved village character within the modern city.
-
B.
Rahnsdorf
Rahnsdorf is a lakeside locality in eastern Berlin, Germany, known for its village-like character, forests, and waterfront along the Müggelsee and nearby waterways.
-
C.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
D.
Karsdorf
Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
-
E.
Wilhelmsdorf
Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99d080c88190a7d3876589d7b864 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f641c3081908084a3574e20457f |
completed | April 4, 2026, 11:31 p.m. |
Created at: March 30, 2026, 8:06 p.m.