Triple

T18163530
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A61 E434827 entity
Predicate junctionWith P1018 FINISHED
Object Autobahn A1 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: Autobahn A1 | Statement: [Autobahn A61, junctionWith, Autobahn A1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A1
Context triple: [Autobahn A61, junctionWith, Autobahn A1]
  • A. Autobahn A1 chosen
    Autobahn A1 is one of Germany’s major north–south motorways, connecting key cities from the Baltic Sea coast down through western Germany.
  • B. Autobahn A11
    Autobahn A11 is a German federal motorway that connects Berlin with the Polish border near Szczecin, serving as a key international transport route.
  • C. Autobahn A9
    Autobahn A9 is a major German motorway running roughly north–south and connecting Berlin with Munich, serving as one of the country’s key long-distance transport corridors.
  • D. Autobahn A10
    Autobahn A10, also known as the Berliner Ring, is the orbital motorway encircling Berlin and one of Germany’s most important and heavily used highway routes.
  • E. Autobahn A7
    Autobahn A7 is one of Germany’s longest and most important north–south motorways, running from the Danish border through central Germany toward the Austrian border.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec419788190a999a68f32fab39b completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.