Triple

T17755091
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A1 E443210 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 A1, hasJunctionWith, Autobahn A44]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A44
Context triple: [Autobahn A1, 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841e7050819083a4e638ca7484f7 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.