Triple

T12551120
Position Surface form Disambiguated ID Type / Status
Subject Columbiadamm E300097 entity
Predicate hasJunctionWith P1018 FINISHED
Object Yorckstraße E372241 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: Yorckstraße | Statement: [Columbiadamm, hasJunctionWith, Yorckstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorckstraße
Context triple: [Columbiadamm, hasJunctionWith, Yorckstraße]
  • A. Yorckstraße chosen
    Yorckstraße is a major street and transport corridor in Berlin’s Kreuzberg and Schöneberg districts, known for its multiple S-Bahn stations and proximity to several historic cemeteries and railway viaducts.
  • B. Hedderichstraße
    Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
  • C. Eichhornstraße
    Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Vorbergstraße
    Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea78dcc819091773d900ad44be6 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:58 p.m.