Triple

T11921224
Position Surface form Disambiguated ID Type / Status
Subject Marl, Germany E283658 entity
Predicate hasTwinTown P919 FINISHED
Object Bitterfeld-Wolfen, Germany E118183 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: Bitterfeld-Wolfen, Germany | Statement: [Marl, Germany, hasTwinTown, Bitterfeld-Wolfen, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitterfeld-Wolfen, Germany
Context triple: [Marl, Germany, hasTwinTown, Bitterfeld-Wolfen, Germany]
  • A. Frohnhausen, Germany
    Frohnhausen is a district in Germany known in part for its town-twinning partnership with Much Wenlock in England.
  • B. Friedberg, Germany
    Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
  • C. Bitterfeld-Wolfen chosen
    Bitterfeld-Wolfen is a town in Saxony-Anhalt, Germany, known for its industrial heritage, particularly in chemical production and film manufacturing.
  • D. Bernburg, Germany
    Bernburg is a historic town on the Saale River in the German state of Saxony-Anhalt, known for its medieval castle and role as a regional administrative and industrial center.
  • E. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f44033c288819099587af3f895eac5 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:45 p.m.