Triple

T18965204
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A46 E464015 entity
Predicate hasJunctionWith P1018 FINISHED
Object Autobahn A44 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 A44 | Statement: [Autobahn A46, hasJunctionWith, Autobahn A44]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A44
Context triple: [Autobahn A46, hasJunctionWith, Autobahn A44]
  • A. Autobahn A44 chosen
    Autobahn A44 is a major German motorway in western Germany that links key cities and transport hubs, including providing direct access to Düsseldorf Airport.
  • B. Autobahn A43
    Autobahn A43 is a German federal motorway in North Rhine-Westphalia that connects the Ruhr area with the Münsterland region.
  • C. Autobahn A46
    Autobahn A46 is a German federal motorway in North Rhine-Westphalia that connects several major cities in the Rhine-Ruhr metropolitan region.
  • D. Autobahn A4
    Autobahn A4 is a major east–west German motorway that runs across the country, connecting the Dutch border near Aachen to the Polish border near Görlitz.
  • E. Autobahn A45
    Autobahn A45 is a major German motorway running through western Germany, connecting the Ruhr area with central and southern regions and serving as an important north–south transport corridor.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d663948190b496fbd2e69c7f43 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon