Triple

T6514420
Position Surface form Disambiguated ID Type / Status
Subject Berlin Südkreuz E148217 entity
Predicate railwayLine P848 FINISHED
Object Ringbahn (Berlin) E143051 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: Ringbahn (Berlin) | Statement: [Berlin Südkreuz, railwayLine, Ringbahn (Berlin)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringbahn (Berlin)
Context triple: [Berlin Südkreuz, railwayLine, Ringbahn (Berlin)]
  • A. Berlin Stadtbahn
    Berlin Stadtbahn is a major elevated east–west railway corridor in Berlin that carries S-Bahn and regional trains through the city’s central districts.
  • B. Berlin U-Bahn
    The Berlin U-Bahn is the German capital’s extensive underground rapid transit system, forming a core part of its public transportation network.
  • C. Schöneberg municipal railway
    Schöneberg municipal railway was a local transit company in Berlin that originally developed and operated the short U4 underground line serving the Schöneberg district.
  • D. Ringbahn chosen
    The Ringbahn is Berlin’s circular urban rail line that encircles the inner city and serves as a major hub for the Berlin S-Bahn network.
  • E. Berlin S-Bahn
    The Berlin S-Bahn is a rapid transit railway network serving Berlin and its surrounding areas, integrating suburban and urban rail services across the metropolitan region.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5125c448190bf47843fcac66efe completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:44 p.m.