Triple

T18365305
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A93 E440027 entity
Predicate roadType P1019 FINISHED
Object Autobahn 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 | Statement: [Autobahn A93, roadType, Autobahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autobahn
Context triple: [Autobahn A93, roadType, Autobahn]
  • A. Autobahn
    Autobahn is a track featured in the racing video game "Blueprints for the Black Market," likely inspired by Germany’s high-speed highway system.
  • B. Autobahn chosen
    The Autobahn is Germany’s federal high-speed highway network, renowned for its extensive reach and sections without mandatory speed limits.
  • C. Ost Autobahn
    Ost Autobahn is a major Austrian motorway forming part of the A4 route that connects Vienna with the country’s eastern regions and neighboring countries.
  • D. A1 West Autobahn
    The A1 West Autobahn is one of Austria’s major east–west motorways, connecting Vienna with Salzburg and serving key cities such as St. Pölten along its route.
  • E. Autobahn A9
    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.
  • 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.