Triple

T7500496
Position Surface form Disambiguated ID Type / Status
Subject Verden (Aller) E177243 entity
Predicate officialName P66 FINISHED
Object Verden (Aller) E171018 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: Verden (Aller) | Statement: [Verden (Aller), officialName, Verden (Aller)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verden (Aller)
Context triple: [Verden (Aller), officialName, Verden (Aller)]
  • A. Verden (Aller) chosen
    Verden (Aller) is a historic town in Lower Saxony, Germany, known for its medieval cathedral and equestrian traditions.
  • B. Ahlden (Aller)
    Ahlden (Aller) is a small municipality in the Heidekreis district of Lower Saxony, Germany, situated along the River Aller and known for its historic castle and rural charm.
  • C. Wiehe
    Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
  • D. Deuring
    Deuring is a German surname most notably associated with mathematician Max Deuring, known for his contributions to algebraic number theory and the theory of elliptic curves.
  • E. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.