Triple
T12601157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Willich |
E300860
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Braunsberg |
E511202
|
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: Braunsberg | Statement: [August Willich, placeOfBirth, Braunsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braunsberg Context triple: [August Willich, placeOfBirth, Braunsberg]
-
A.
Braunsberg
chosen
Braunsberg is a locality in former East Prussia (now in Poland) known for its proximity to the World War II Heiligenbeil pocket battlefield.
-
B.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
-
C.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Oberhaus
The Oberhaus is the modern upper chamber of a bicameral legislature, functioning as the contemporary equivalent of the historical Erste Kammer.
-
E.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7304f62288190aa7788fc6fb04254 |
completed | May 3, 2026, 11:23 a.m. |
Created at: April 9, 2026, 5:09 p.m.