Triple

T16988222
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A2 E412124 entity
Predicate hasJunctionWith P1018 FINISHED
Object Autobahn A10 E429097 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: Autobahn A10 | Statement: [Autobahn A2, hasJunctionWith, Autobahn A10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A10
Context triple: [Autobahn A2, hasJunctionWith, Autobahn A10]
  • A. Autobahn A10 chosen
    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.
  • B. Autobahn A12
    Autobahn A12 is a major German motorway in eastern Germany that connects the Berlin area with the Polish border and forms part of an important trans-European transport corridor.
  • C. Autobahn A1
    Autobahn A1 is one of Germany’s major north–south motorways, connecting key cities from the Baltic Sea coast down through western Germany.
  • D. Autobahn A14
    Autobahn A14 is a major German motorway in eastern Germany that links cities such as Leipzig and Halle and provides important regional and long-distance transport connections.
  • 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 (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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27cd2048190800a60ae653e11e1 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170df4d1c81909dd05abfd1cfc2ac completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:32 a.m.