Triple

T1329531
Position Surface form Disambiguated ID Type / Status
Subject Mitte E28609 entity
Predicate contains P35 FINISHED
Object Hansaviertel locality
Hansaviertel locality is a modernist residential neighborhood in Berlin renowned for its postwar International Building Exhibition (Interbau 1957) architecture.
E151701 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: Hansaviertel locality | Statement: [Mitte, contains, Hansaviertel locality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansaviertel locality
Context triple: [Mitte, contains, Hansaviertel locality]
  • A. Bayerisches Viertel
    Bayerisches Viertel is a historic residential neighborhood in Berlin known for its early 20th-century architecture and its significant Jewish cultural and memorial heritage.
  • B. Gartenstadt
    Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
  • C. Alt-Mariendorf
    Alt-Mariendorf is a Berlin U-Bahn station in the Mariendorf district that serves as the southern terminus of line U6.
  • D. Schöneberg
    Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
  • E. Leopold Quarter
    Leopold Quarter is a prominent business and administrative district in Brussels, Belgium, known for hosting key European Union institutions and offices.
  • 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: Hansaviertel locality
Triple: [Mitte, contains, Hansaviertel locality]
Generated description
Hansaviertel locality is a modernist residential neighborhood in Berlin renowned for its postwar International Building Exhibition (Interbau 1957) architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hansaviertel locality
Target entity description: Hansaviertel locality is a modernist residential neighborhood in Berlin renowned for its postwar International Building Exhibition (Interbau 1957) architecture.
  • A. Bayerisches Viertel
    Bayerisches Viertel is a historic residential neighborhood in Berlin known for its early 20th-century architecture and its significant Jewish cultural and memorial heritage.
  • B. Gartenstadt
    Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
  • C. Alt-Mariendorf
    Alt-Mariendorf is a Berlin U-Bahn station in the Mariendorf district that serves as the southern terminus of line U6.
  • D. Schöneberg
    Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
  • E. Leopold Quarter
    Leopold Quarter is a prominent business and administrative district in Brussels, Belgium, known for hosting key European Union institutions and offices.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c30c948190afc6342b3dcda948 completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf32b488819095dc63d338a30b9b completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbfc03f20819089a025fc745c9203 completed March 8, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_69acc0282080819087676813c2852a96 completed March 8, 2026, 12:17 a.m.
Created at: March 1, 2026, 7:55 p.m.