Triple

T12280474
Position Surface form Disambiguated ID Type / Status
Subject Bistrița E292702 entity
Predicate twinTown P1072 FINISHED
Object Ludwigsburg, Germany E384479 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: Ludwigsburg, Germany | Statement: [Bistrița, twinTown, Ludwigsburg, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigsburg, Germany
Context triple: [Bistrița, twinTown, Ludwigsburg, Germany]
  • A. Rastatt, Germany
    Rastatt, Germany is a historic town in the state of Baden-Württemberg known for its Baroque palaces and role as a regional administrative and industrial center.
  • B. Ludwigsburg chosen
    Ludwigsburg is a city in the German state of Baden-Württemberg, known for its large Baroque residential palace and historical ties to the rulers of Württemberg.
  • C. Bietigheim-Bissingen, Germany
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its strong industrial base and proximity to major automotive and engineering companies.
  • D. Oberkochen, Germany
    Oberkochen, Germany is a small town in the state of Baden-Württemberg best known as the home of the renowned optics and precision engineering company Carl Zeiss.
  • E. Badenweiler, Germany
    Badenweiler, Germany is a spa town in the Black Forest region of southwestern Germany, renowned for its thermal baths and historic resort atmosphere.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6f46f08190839ba07ef6fac984 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.