Triple

T16792408
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg–Regensburg railway E408141 entity
Predicate passesThrough P225 FINISHED
Object Parsberg E833281 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: Parsberg | Statement: [Nuremberg–Regensburg railway, passesThrough, Parsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsberg
Context triple: [Nuremberg–Regensburg railway, passesThrough, Parsberg]
  • A. Parsberg chosen
    Parsberg is a small Bavarian town in southeastern Germany known for its historic hilltop castle and location along major transport routes between Nuremberg and Regensburg.
  • B. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • C. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • D. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • E. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a6c9888190b3f8f625b299574d completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.