Triple

T19629587
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn station Berlin-Friedenau E471229 entity
Predicate servesLocality P26183 FINISHED
Object Friedenau area NE NERFINISHED

How this triple was built (3 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: Friedenau area | Statement: [S-Bahn station Berlin-Friedenau, servesLocality, Friedenau area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedenau area
Context triple: [S-Bahn station Berlin-Friedenau, servesLocality, Friedenau area]
  • A. Haidhausen area
    The Haidhausen area is a historic and now trendy district of Munich known for its charming old buildings, lively cafés, and cultural venues along the Isar River.
  • B. Rummelsburg district
    Rummelsburg district is a locality in the Berlin borough of Lichtenberg, known for its mix of residential areas, industrial heritage, and waterfront along the Spree River.
  • C. Berg am Laim district
    Berg am Laim district is a residential and industrial borough in the east of Munich, Germany, known for its mix of historic buildings, post-war housing, and transport links.
  • D. Harburg district
    Harburg district is a rural administrative district in Lower Saxony, Germany, located south of Hamburg and known for its mix of agricultural areas, forests, and commuter towns.
  • E. Adlersruhe
    Adlersruhe is a high-altitude spot on Austria’s Grossglockner often used as a staging point for climbers ascending the mountain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Friedenau area
Target entity description: The Friedenau area is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and quiet, neighborhood character.
  • A. Haidhausen area
    The Haidhausen area is a historic and now trendy district of Munich known for its charming old buildings, lively cafés, and cultural venues along the Isar River.
  • B. Rummelsburg district
    Rummelsburg district is a locality in the Berlin borough of Lichtenberg, known for its mix of residential areas, industrial heritage, and waterfront along the Spree River.
  • C. Berg am Laim district
    Berg am Laim district is a residential and industrial borough in the east of Munich, Germany, known for its mix of historic buildings, post-war housing, and transport links.
  • D. Harburg district
    Harburg district is a rural administrative district in Lower Saxony, Germany, located south of Hamburg and known for its mix of agricultural areas, forests, and commuter towns.
  • E. Adlersruhe
    Adlersruhe is a high-altitude spot on Austria’s Grossglockner often used as a staging point for climbers ascending the mountain.
  • F. None of above. chosen

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.