Triple

T8862167
Position Surface form Disambiguated ID Type / Status
Subject Lensahn E210915 entity
Predicate roadConnection P385 FINISHED
Object Bundesstraße 202 E552340 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: Bundesstraße 202 | Statement: [Lensahn, roadConnection, Bundesstraße 202]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 202
Context triple: [Lensahn, roadConnection, Bundesstraße 202]
  • A. Bundesstraße 202 chosen
    Bundesstraße 202 is a federal highway in northern Germany that connects several towns and regions in the state of Schleswig-Holstein.
  • B. Bundesstraße 209
    Bundesstraße 209 is a federal highway in northern Germany that connects several towns and regions in Lower Saxony and Schleswig-Holstein.
  • C. Bundesstraße 270
    Bundesstraße 270 is a federal highway in Germany that runs through the state of Rhineland-Palatinate, connecting towns in the Palatinate region and linking to several major routes.
  • D. Bundesstraße 27
    Bundesstraße 27 is a major German federal highway running primarily in a north–south direction, connecting several important cities across multiple states.
  • E. Bundesstraße 297
    Bundesstraße 297 is a German federal road in the state of Baden-Württemberg that connects several towns and cities, including Göppingen, and serves as an important regional transport route.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba113870819096438aebeddbf34a completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:50 p.m.