Triple

T15947622
Position Surface form Disambiguated ID Type / Status
Subject Lauingen E386724 entity
Predicate hasTransportConnection P845 FINISHED
Object Bundesstraße 16 E1036921 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 16 | Statement: [Lauingen, hasTransportConnection, Bundesstraße 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 16
Context triple: [Lauingen, hasTransportConnection, Bundesstraße 16]
  • A. Bundesstraße 16 chosen
    Bundesstraße 16 is a major federal highway in southern Germany that runs east–west through Bavaria, connecting numerous towns and cities along the Danube region.
  • B. Bundesstraße 15
    Bundesstraße 15 is a German federal highway in Bavaria that runs north–south, connecting several towns and regions, including the area around Tirschenreuth.
  • C. Bundesstraße 11
    Bundesstraße 11 is a major federal highway in southern Germany that runs through Bavaria, connecting Munich with the Bavarian Forest region near the Czech border.
  • D. 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.
  • E. 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.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.