Triple

T16201212
Position Surface form Disambiguated ID Type / Status
Subject Vertou E393202 entity
Predicate twinnedWith P1072 FINISHED
Object Zwenkau E190257 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: Zwenkau | Statement: [Vertou, twinnedWith, Zwenkau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwenkau
Context triple: [Vertou, twinnedWith, Zwenkau]
  • A. Zwenkau chosen
    Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
  • B. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • C. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • D. Zernien
    Zernien is a municipality in Lower Saxony, Germany, situated within the collective municipality (Samtgemeinde) of Elbtalaue.
  • E. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270aa7f08190ab37aa9ff46816fc completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078db04081909f7e14b09687ba67 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.