Triple

T9209119
Position Surface form Disambiguated ID Type / Status
Subject Marienfelde E221065 entity
Predicate hasRoadConnection P385 FINISHED
Object Bundesstraße 96 E318592 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 96 | Statement: [Marienfelde, hasRoadConnection, Bundesstraße 96]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 96
Context triple: [Marienfelde, hasRoadConnection, Bundesstraße 96]
  • A. Bundesstraße 96 chosen
    Bundesstraße 96 is a major German federal highway running in a north–south direction, notably connecting Berlin with the Baltic Sea island of Rügen.
  • B. Bundesstraße 9
    Bundesstraße 9 is a major German federal highway running along the western part of the country, connecting numerous cities and towns near the Rhine.
  • 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 8
    Bundesstraße 8 is a major German federal highway running east–west through several states and connecting numerous towns and cities.
  • E. Bundesstraße 36
    Bundesstraße 36 is a German federal highway in the state of Baden-Württemberg that connects the Karlsruhe area with the Mannheim/Ludwigshafen region and serves as an important regional traffic route.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b3c8c081909a688ce699928fc0 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077875eac8190a020dfa38998385e completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:26 p.m.