Triple

T17616549
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A10 E429097 entity
Predicate hasJunctionWith P1018 FINISHED
Object Autobahn A13 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 A13 | Statement: [Autobahn A10, hasJunctionWith, Autobahn A13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A13
Context triple: [Autobahn A10, hasJunctionWith, Autobahn A13]
  • A. Autobahn A13 chosen
    Autobahn A13 is a major German motorway in eastern Germany that connects Berlin with Dresden and forms part of an important north–south traffic corridor.
  • B. Autobahn A17
    Autobahn A17 is a German federal motorway in Saxony that connects Dresden to the Czech border near Prague, serving as an important north–south transit route.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.