Triple

T15438021
Position Surface form Disambiguated ID Type / Status
Subject Meschede E369819 entity
Predicate connectedByRoad P11435 FINISHED
Object Bundesstraße 229 E416590 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 229 | Statement: [Meschede, connectedByRoad, Bundesstraße 229]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 229
Context triple: [Meschede, connectedByRoad, Bundesstraße 229]
  • A. Bundesstraße 224
    Bundesstraße 224 is a federal highway in western Germany that connects several cities in North Rhine-Westphalia and serves as an important regional traffic route.
  • 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 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.
  • D. Bundesstraße B229 chosen
    Bundesstraße B229 is a German federal road that runs through North Rhine-Westphalia, connecting various towns and cities in the region.
  • E. Bundesstraße 299
    Bundesstraße 299 is a German federal highway running through Bavaria, connecting various towns and regions as part of the national road network.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3651518c8190a24d2aab58c3ac08 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:21 a.m.