Triple

T17935194
Position Surface form Disambiguated ID Type / Status
Subject Regierungsbezirk Chemnitz E448443 entity
Predicate hasMajorCity P316 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: [Regierungsbezirk Chemnitz, hasMajorCity, Plauen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plauen
Context triple: [Regierungsbezirk Chemnitz, hasMajorCity, 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a55536e0819083dcfc4be71d447a completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03213b71188190a74c401cdc371874 completed May 12, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:21 a.m.