Triple
T9078986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oranienburg |
E217564
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Hohen Neuendorf |
E392707
|
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: Hohen Neuendorf | Statement: [Oranienburg, hasTwinTown, Hohen Neuendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohen Neuendorf Context triple: [Oranienburg, hasTwinTown, Hohen Neuendorf]
-
A.
Hohen Neuendorf
chosen
Hohen Neuendorf is a town in the German state of Brandenburg, located just north of Berlin and known as a residential suburb with access to the capital.
-
B.
Königs Wusterhausen
Königs Wusterhausen is a town in the German state of Brandenburg, located southeast of Berlin and integrated into the capital’s commuter belt.
-
C.
Jüterbog
Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
-
D.
Neu-Hohenschönhausen
Neu-Hohenschönhausen is a residential locality in the northeast of Berlin, known for its large prefabricated housing estates and post-war urban development.
-
E.
Mahlsdorf
Mahlsdorf is a locality in the borough of Marzahn-Hellersdorf in eastern Berlin, Germany, known for its residential character and historic village center.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c93ee48190842623b57e50f4cf |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c6e9d9408190ad505e9cf49d0f7c |
completed | April 4, 2026, 8:08 a.m. |
Created at: March 30, 2026, 7:12 p.m.