Triple
T20862231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teltow-Fläming |
E513648
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Trebbin
Trebbin is a small town in the German state of Brandenburg, located southwest of Berlin.
|
E1454270
|
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: Trebbin | Statement: [Teltow-Fläming, contains, Trebbin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trebbin Context triple: [Teltow-Fläming, contains, Trebbin]
-
A.
Gescher
Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
-
B.
Kreuztal
Kreuztal is a town in the Siegen-Wittgenstein district of North Rhine-Westphalia, Germany, known as an industrial and transport hub in the Siegerland region.
-
C.
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.
-
D.
Elberfeld
Elberfeld is a historic district of the German city of Wuppertal in North Rhine-Westphalia, known for its 19th-century architecture and early industrial development.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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: Trebbin Triple: [Teltow-Fläming, contains, Trebbin]
Generated description
Trebbin is a small town in the German state of Brandenburg, located southwest of Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trebbin Target entity description: Trebbin is a small town in the German state of Brandenburg, located southwest of Berlin.
-
A.
Gescher
Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
-
B.
Kreuztal
Kreuztal is a town in the Siegen-Wittgenstein district of North Rhine-Westphalia, Germany, known as an industrial and transport hub in the Siegerland region.
-
C.
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.
-
D.
Elberfeld
Elberfeld is a historic district of the German city of Wuppertal in North Rhine-Westphalia, known for its 19th-century architecture and early industrial development.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b0f5c088190a2db09ce9ecbfcc3 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bc252dc8190a96a98b2160826b5 |
completed | May 17, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cc818b4819089ed588d3e460aa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:44 p.m.