Triple

T15560002
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A28 E370970 entity
Predicate roadCategory P6300 FINISHED
Object Bundesautobahn E444895 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 | Statement: [Autobahn A28, roadCategory, Bundesautobahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesautobahn
Context triple: [Autobahn A28, roadCategory, Bundesautobahn]
  • A. Bundesautobahn chosen
    A Bundesautobahn is a federal controlled-access highway in Germany forming part of the country’s high-speed, long-distance motorway network.
  • B. Bundesautobahn 1
    Bundesautobahn 1 is a major German motorway running roughly north–south across the country, connecting key cities and regions from the Baltic Sea coast toward western and southwestern Germany.
  • C. Bundesautobahn 19
    Bundesautobahn 19 is a German federal motorway in northeastern Germany that connects the A24 near Wittstock/Dosse with the Baltic Sea city of Rostock.
  • D. Bundesautobahn 44
    Bundesautobahn 44 is a major German motorway in western Germany that connects regions such as the Ruhr area with Kassel and serves as an important east–west transport corridor.
  • E. Bundesautobahn 2
    Bundesautobahn 2 is a major German motorway running east–west across the country, connecting the Ruhr area with Berlin and serving as an important long-distance 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec93ac48190b2548a61797480cc completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:09 a.m.