Triple
T10948562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BArch |
E258663
|
entity |
| Predicate | hasBranch |
P35
|
FINISHED |
| Object |
Hoppegarten
Hoppegarten is a municipality in the Märkisch-Oderland district of Brandenburg, Germany, best known for its historic horse racing track just east of Berlin.
|
E895733
|
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: Hoppegarten | Statement: [BArch, hasBranch, Hoppegarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoppegarten Context triple: [BArch, hasBranch, Hoppegarten]
-
A.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
-
B.
Berggarten
Berggarten is a historic botanical garden in Hanover, Germany, renowned for its diverse plant collections and greenhouses.
-
C.
Marienhof
Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
-
D.
Leingarten
Leingarten is a municipality in the Heilbronn district of Baden-Württemberg, Germany, known for its wine-growing tradition and location near the city of Heilbronn.
-
E.
Gellert Park
Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
- 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: Hoppegarten Triple: [BArch, hasBranch, Hoppegarten]
Generated description
Hoppegarten is a municipality in the Märkisch-Oderland district of Brandenburg, Germany, best known for its historic horse racing track just east of Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoppegarten Target entity description: Hoppegarten is a municipality in the Märkisch-Oderland district of Brandenburg, Germany, best known for its historic horse racing track just east of Berlin.
-
A.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
-
B.
Berggarten
Berggarten is a historic botanical garden in Hanover, Germany, renowned for its diverse plant collections and greenhouses.
-
C.
Marienhof
Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
-
D.
Leingarten
Leingarten is a municipality in the Heilbronn district of Baden-Württemberg, Germany, known for its wine-growing tradition and location near the city of Heilbronn.
-
E.
Gellert Park
Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ec7028819084f5ce2035a128e4 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c4a75688190894c83b8964509a6 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24542b4f081909c97621f04da8ecc |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f7f96481909fa6e6cd07891566 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.