Triple

T13323434
Position Surface form Disambiguated ID Type / Status
Subject Ohm E317372 entity
Predicate passesThrough P225 FINISHED
Object Marburg-Biedenkopf E799390 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: Marburg-Biedenkopf | Statement: [Ohm, passesThrough, Marburg-Biedenkopf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marburg-Biedenkopf
Context triple: [Ohm, passesThrough, Marburg-Biedenkopf]
  • A. Marburg-Biedenkopf chosen
    Marburg-Biedenkopf is a rural district in the German state of Hesse, centered around the university city of Marburg and known for its mix of historic towns and natural landscapes.
  • B. Ruppichteroth
    Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
  • C. Königstein im Taunus
    Königstein im Taunus is a historic spa and resort town in Hesse, Germany, known for its scenic location in the Taunus mountains and its medieval castle ruins.
  • D. Felsberg
    Felsberg is a settlement located in the historical region of Westphalia in western Germany.
  • E. Hermannsberg
    Hermannsberg is a location in Germany known, among other things, as the place where the influential German educator Kurt Hahn died.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992c1fec8190bcb6a6bb3c973a24 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7546fbd1881909d2dda1edb63df2f completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:30 p.m.