Triple

T15309484
Position Surface form Disambiguated ID Type / Status
Subject Yorckstraße (Großgörschenstraße) E365990 entity
Predicate servesDistrict P82 FINISHED
Object Kreuzberg E153187 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: Kreuzberg | Statement: [Yorckstraße (Großgörschenstraße), servesDistrict, Kreuzberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreuzberg
Context triple: [Yorckstraße (Großgörschenstraße), servesDistrict, Kreuzberg]
  • A. Kreuzberg chosen
    Kreuzberg is a vibrant, historically working-class district in central Berlin known for its multicultural community, alternative culture, and lively arts and nightlife scenes.
  • B. Kreuzberg
    Kreuzberg is a prominent mountain in the Rhön range of central Germany, known for its monastery, pilgrimage site, and scenic hiking opportunities.
  • C. Prenzlauer Berg
    Prenzlauer Berg is a trendy, gentrified district in Berlin known for its historic architecture, vibrant café culture, and popular nightlife.
  • D. Friedrichshain-Kreuzberg
    Friedrichshain-Kreuzberg is a central Berlin borough known for its vibrant nightlife, alternative culture, and diverse, historically rich neighborhoods.
  • E. Friedrichshain
    Friedrichshain is a vibrant district in Berlin known for its alternative culture, nightlife, and historic sites including remnants of the Berlin Wall.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2efb148190a2e6c0811f2afb5f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:16 a.m.