Triple

T9770424
Position Surface form Disambiguated ID Type / Status
Subject Eberswalde E237109 entity
Predicate hasSubdivision P747 FINISHED
Object Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
 E820017 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: Stadtmitte | Statement: [Eberswalde, hasSubdivision, Stadtmitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stadtmitte
Context triple: [Eberswalde, hasSubdivision, Stadtmitte]
  • A. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • B. Stadtmitte
    Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
  • C. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • D. Innere Stadt
    Innere Stadt is the historic first district and city center of Vienna, Austria, known for its medieval street layout, grand boulevards, and concentration of major cultural and political landmarks.
  • E. Innere Neustadt
    Innere Neustadt is a historic central district of Dresden, Germany, known for its Baroque architecture, cultural venues, and vibrant urban life along the Elbe River.
  • 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: Stadtmitte
Triple: [Eberswalde, hasSubdivision, Stadtmitte]
Generated description
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stadtmitte
Target entity description: Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
  • A. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • B. Stadtmitte
    Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
  • C. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • D. Innere Stadt
    Innere Stadt is the historic first district and city center of Vienna, Austria, known for its medieval street layout, grand boulevards, and concentration of major cultural and political landmarks.
  • E. Innere Neustadt
    Innere Neustadt is a historic central district of Dresden, Germany, known for its Baroque architecture, cultural venues, and vibrant urban life along the Elbe River.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f1dea08190b89bcc192b068c66 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd0cae548190a2d9b42ea4ecc372 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1be4f81cc819093a80da4025ccc5d completed April 5, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1beda84d4819089eb9f33824f1c35 completed April 5, 2026, 1:46 a.m.
Created at: March 30, 2026, 8:26 p.m.