Triple

T5348479
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 3 E124112 entity
Predicate hasJunctionWith P1018 FINISHED
Object Bundesautobahn 2 E412124 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: Bundesautobahn 2 | Statement: [Bundesstraße 3, hasJunctionWith, Bundesautobahn 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesautobahn 2
Context triple: [Bundesstraße 3, hasJunctionWith, Bundesautobahn 2]
  • A. Autobahn A2 chosen
    Autobahn A2 is a major east–west German motorway that connects the Ruhr area with Berlin and serves as a key transit route across central Germany.
  • B. Bundesstraße 3
    Bundesstraße 3 is a major German federal highway running north–south through several states and connecting numerous cities and towns.
  • 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 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.
  • E. 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.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ef75148190815461c2a49302e9 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33395b248190a1552288a3d5213c completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:01 p.m.