Triple

T21820154
Position Surface form Disambiguated ID Type / Status
Subject Treuenbrietzen E538703 entity
Predicate hasTransportConnection P845 FINISHED
Object Bundesstraße 2 NE NERFINISHED

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: Bundesstraße 2 | Statement: [Treuenbrietzen, hasTransportConnection, Bundesstraße 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 2
Context triple: [Treuenbrietzen, hasTransportConnection, Bundesstraße 2]
  • A. Bundesstraße 2 chosen
    Bundesstraße 2 is a major German federal highway running in a north–south direction and connecting several important cities and regions.
  • B. Bundesstraße 1
    Bundesstraße 1 is a major German federal highway that runs east–west across the country, connecting several important cities and historical routes.
  • C. Bundesstraße 10
    Bundesstraße 10 is a major federal highway in southern Germany that runs east–west and connects several important cities in the states of Baden-Württemberg and Rhineland-Palatinate.
  • D. Bundesstraße 28
    Bundesstraße 28 is a major federal highway in southern Germany that connects several cities in Baden-Württemberg and beyond, serving as an important east–west transport route.
  • E. Bundesstraße 14
    Bundesstraße 14 is a major federal highway in Germany that connects several important cities and regions in the southern part of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cce0b8081909e20ded72db40304 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.