Triple

T13489283
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn line S1 E318589 entity
Predicate regionServed P82 FINISHED
Object Berlin metropolitan area E760599 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: Berlin metropolitan area | Statement: [S-Bahn line S1, regionServed, Berlin metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin metropolitan area
Context triple: [S-Bahn line S1, regionServed, Berlin metropolitan area]
  • A. Greater Berlin
    Greater Berlin was the expanded metropolitan area created in 1920 that unified Berlin with numerous surrounding towns and districts into a single large city.
  • B. City of Berlin chosen
    The City of Berlin is the capital and largest city of Germany, known for its pivotal role in European history, vibrant cultural scene, and status as a major political, economic, and artistic center.
  • C. Munich metropolitan region
    The Munich metropolitan region is a major economic and cultural hub in southern Germany centered around the city of Munich and encompassing numerous surrounding towns and districts.
  • D. Hamburg metropolitan region
    The Hamburg metropolitan region is a major economic and population center in northern Germany, anchored by the city of Hamburg and its extensive port and logistics industries.
  • E. Berlin government district
    The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3cbe2081908c6792362c67c8f1 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.