Triple

T18365307
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A93 E440027 entity
Predicate connectsTo P845 FINISHED
Object Autobahn A9 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 A9 | Statement: [Autobahn A93, connectsTo, Autobahn A9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn A9
Context triple: [Autobahn A93, connectsTo, Autobahn A9]
  • A. Autobahn A9 chosen
    Autobahn A9 is a major German motorway running roughly north–south and connecting Berlin with Munich, serving as one of the country’s key long-distance transport corridors.
  • B. 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.
  • C. Autobahn A8
    Autobahn A8 is a major east–west German motorway that runs across southern Germany, connecting the French border near Saarbrücken to the Austrian border near Salzburg.
  • D. Autobahn A96
    Autobahn A96 is a major German motorway in southern Bavaria that runs from Munich toward the Austrian border near Lindau, serving as an important east–west transport route.
  • E. Autobahn A6
    Autobahn A6 is a major German motorway running east–west across southern Germany, connecting the French border near Saarbrücken to the Czech border near Waidhaus and serving several key industrial and urban regions.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.