Triple

T22435824
Position Surface form Disambiguated ID Type / Status
Subject Unterliederbach E554619 entity
Predicate hasTransportConnection P845 FINISHED
Object Bundesstraße 8 NE NERFINISHED

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 8 | Statement: [Unterliederbach, hasTransportConnection, Bundesstraße 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 8
Context triple: [Unterliederbach, hasTransportConnection, Bundesstraße 8]
  • A. Bundesstraße 8 chosen
    Bundesstraße 8 is a major German federal highway running east–west through several states and connecting numerous towns and cities.
  • B. Bundesstraße 85
    Bundesstraße 85 is a major federal highway in Germany that runs through eastern and central regions, connecting numerous towns and cities across the country.
  • C. Bundesstraße 87
    Bundesstraße 87 is a German federal highway that runs east–west through central Germany, connecting several towns and cities across multiple states.
  • D. Bundesstraße 81
    Bundesstraße 81 is a federal highway in central Germany that connects the Harz region with major surrounding towns and transport routes.
  • E. Bundesstraße 83
    Bundesstraße 83 is a major federal highway in Germany that runs along the Weser River, connecting numerous towns and regions in central Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ade60508190b0100d5c2843b920 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.