Triple
T2136266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandenburg |
E46660
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Eberswalde
Eberswalde is a town in northeastern Germany known for its industrial heritage and surrounding forests, located northeast of Berlin.
|
E237109
|
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: Eberswalde | Statement: [Brandenburg, hasCity, Eberswalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eberswalde Context triple: [Brandenburg, hasCity, Eberswalde]
-
A.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
-
B.
Maadi
Maadi is a suburban district in southern Cairo, Egypt, known for its leafy residential streets, expatriate community, and proximity to the Nile.
-
C.
Thale
Thale is a small town in the northern Harz region of central Germany, known for its dramatic Bode Gorge, surrounding cliffs, and role as a gateway to popular hiking and nature areas.
-
D.
Idstein
Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
-
E.
Lydenburg
Lydenburg is a historic town in South Africa known for its early gold-mining heritage and proximity to scenic routes and nature reserves in the Mpumalanga province.
- 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: Eberswalde Triple: [Brandenburg, hasCity, Eberswalde]
Generated description
Eberswalde is a town in northeastern Germany known for its industrial heritage and surrounding forests, located northeast of Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eberswalde Target entity description: Eberswalde is a town in northeastern Germany known for its industrial heritage and surrounding forests, located northeast of Berlin.
-
A.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
-
B.
Maadi
Maadi is a suburban district in southern Cairo, Egypt, known for its leafy residential streets, expatriate community, and proximity to the Nile.
-
C.
Thale
Thale is a small town in the northern Harz region of central Germany, known for its dramatic Bode Gorge, surrounding cliffs, and role as a gateway to popular hiking and nature areas.
-
D.
Idstein
Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
-
E.
Lydenburg
Lydenburg is a historic town in South Africa known for its early gold-mining heritage and proximity to scenic routes and nature reserves in the Mpumalanga province.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdc4ce8c81908d143d5451681e6a |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51acc0f88190a580e29d887170ec |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae5322097c81909d77d54ae258ab1a |
completed | March 9, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5365cd808190aa8363b612ef0ec5 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.