Triple

T12877909
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Waldheim E709502 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: Waldheim | Statement: [Leipzig metropolitan region, containsCity, Waldheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldheim
Context triple: [Leipzig metropolitan region, containsCity, Waldheim]
  • A. Waldheim chosen
    Waldheim is a small town in the German state of Saxony, known for its historic architecture and location along the Zschopau River.
  • B. Vilsmaier
    Vilsmaier is a German surname most notably associated with film director Joseph Vilsmaier.
  • C. Kurt Waldheim
    Kurt Waldheim was an Austrian diplomat and politician who served as Secretary-General of the United Nations and later as President of Austria, becoming a controversial figure due to revelations about his World War II military service.
  • D. Roman Herzog
    Roman Herzog was a German jurist and politician who served as President of Germany from 1994 to 1999.
  • E. Hans Modrow
    Hans Modrow was an East German reformist politician who served as the last communist prime minister of the GDR, overseeing key transition steps during the period following the fall of the Berlin Wall.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.