Triple

T17045979
Position Surface form Disambiguated ID Type / Status
Subject Mühlacker E413568 entity
Predicate locatedOn P40 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: [Mühlacker, locatedOn, Bundesstraße 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 10
Context triple: [Mühlacker, locatedOn, 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 1
    Bundesstraße 1 is a major German federal highway that runs east–west across the country, connecting several important cities and historical routes.
  • D. Bundesstraße 101
    Bundesstraße 101 is a German federal highway running through Berlin and Brandenburg, connecting the capital region with towns to the south.
  • E. Bundesstraße 16
    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.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c36b32c8190a365b7b80207978c completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:33 a.m.