Triple

T13911843
Position Surface form Disambiguated ID Type / Status
Subject Kleinmachnow E334515 entity
Predicate hasRoadConnection P385 FINISHED
Object B1 federal highway E945016 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: B1 federal highway | Statement: [Kleinmachnow, hasRoadConnection, B1 federal highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B1 federal highway
Context triple: [Kleinmachnow, hasRoadConnection, B1 federal highway]
  • A. B1 federal highway chosen
    The B1 federal highway is a major east–west roadway in Germany that serves as an important regional and intercity transport route.
  • B. B8 federal road
    The B8 federal road is a major German highway that runs through several federal states, connecting cities such as Frankfurt am Main and Cologne and serving as an important regional transport route.
  • C. B4 federal road
    The B4 federal road is a major German highway running north–south that connects several cities and regions, including the town of Arnstadt.
  • D. B13 federal road
    The B13 federal road is a major German highway that runs through Bavaria, connecting towns such as Bad Tölz with larger regional and national road networks.
  • E. Bundesstraße 101
    Bundesstraße 101 is a German federal highway running through Berlin and Brandenburg, connecting the capital region with towns to the south.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.