Triple
T624978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinickendorf |
E14596
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Borsigwalde
Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
|
E83913
|
NE FINISHED |
How this triple was built (4 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: Borsigwalde | Statement: [Reinickendorf, hasCityDistrict, Borsigwalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borsigwalde Context triple: [Reinickendorf, hasCityDistrict, Borsigwalde]
-
A.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
B.
Görlitz
Görlitz is a historic city in eastern Germany on the Lusatian Neisse River, known for its well-preserved old town and role as a popular film location.
-
C.
Wannsee
Wannsee is a lakeside district in southwestern Berlin, Germany, known for its villa colonies, recreational waterfront, and as the site of the infamous 1942 Wannsee Conference.
-
D.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
E.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Borsigwalde Triple: [Reinickendorf, hasCityDistrict, Borsigwalde]
Generated description
Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borsigwalde Target entity description: Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
-
A.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
B.
Görlitz
Görlitz is a historic city in eastern Germany on the Lusatian Neisse River, known for its well-preserved old town and role as a popular film location.
-
C.
Wannsee
Wannsee is a lakeside district in southwestern Berlin, Germany, known for its villa colonies, recreational waterfront, and as the site of the infamous 1942 Wannsee Conference.
-
D.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
E.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
- F. None of above. chosen
Provenance (5 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e43002c81908e0c7dab29b75978 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc91ff30819095a00852c3e2dfae |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5de26ff1081908a60b55a1deab804 |
completed | March 2, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff1ac6f481909915fd5b2e648558 |
completed | March 2, 2026, 9:20 p.m. |
Created at: March 1, 2026, 7:35 p.m.