Triple

T12142633
Position Surface form Disambiguated ID Type / Status
Subject Siegen E289225 entity
Predicate twinTown P1072 FINISHED
Object Plauen E75799 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: Plauen | Statement: [Siegen, twinTown, Plauen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plauen
Context triple: [Siegen, twinTown, Plauen]
  • A. Plauen chosen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • B. Pretzsch
    Pretzsch is a small German town in Saxony-Anhalt, historically notable as the birthplace of influential 19th-century piano teacher Friedrich Wieck.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • E. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69501348190a9ac090c7db37c20 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.