Triple

T13227527
Position Surface form Disambiguated ID Type / Status
Subject Mühlburg E314919 entity
Predicate hasTransportConnection P845 FINISHED
Object Bundesstraße 10 E186667 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 10 | Statement: [Mühlburg, hasTransportConnection, Bundesstraße 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 10
Context triple: [Mühlburg, hasTransportConnection, Bundesstraße 10]
  • A. Bundesstraße 10 chosen
    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.
  • B. 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.
  • C. Bundesstraße 101
    Bundesstraße 101 is a German federal highway running through Berlin and Brandenburg, connecting the capital region with towns to the south.
  • D. 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.
  • 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 (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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3407388190bef886884cb75912 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:21 p.m.