Triple
T8862533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wettin-Löbejün |
E210926
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Brachwitz |
E765204
|
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: Brachwitz | Statement: [Wettin-Löbejün, formedByMergerOf, Brachwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brachwitz Context triple: [Wettin-Löbejün, formedByMergerOf, Brachwitz]
-
A.
Brachwitz
chosen
Brachwitz is a village in the German state of Saxony-Anhalt, now administratively part of the town of Wettin-Löbejün.
-
B.
Mülbracht
Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
-
C.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba113870819096438aebeddbf34a |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:50 p.m.