Triple

T1586828
Position Surface form Disambiguated ID Type / Status
Subject Mitte, Berlin E34084 entity
Predicate contains P35 FINISHED
Object Hansaviertel locality E151701 NE FINISHED

How this triple was built (2 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, Berlin, contains, Hansaviertel locality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansaviertel locality
Context triple: [Mitte, Berlin, contains, Hansaviertel locality]
  • A. Hansaviertel locality chosen
    Hansaviertel locality is a modernist residential neighborhood in Berlin renowned for its postwar International Building Exhibition (Interbau 1957) architecture.
  • B. 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.
  • C. Gesundbrunnen locality
    Gesundbrunnen locality is a densely populated, historically working-class neighborhood in Berlin known for its major transport hub, diverse communities, and mix of postwar housing and industrial heritage.
  • D. Gartenstadt
    Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
  • E. Alt-Mariendorf
    Alt-Mariendorf is a Berlin U-Bahn station in the Mariendorf district that serves as the southern terminus of line U6.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090b3a20819098fdb5605ee739d7 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad469b36548190b2bdf2324fbea30f completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.