Triple

T19480281
Position Surface form Disambiguated ID Type / Status
Subject Hörsel E487361 entity
Predicate hasName P744 FINISHED
Object Hörsel NE NERFINISHED

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: Hörsel | Statement: [Hörsel, hasName, Hörsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hörsel
Context triple: [Hörsel, hasName, Hörsel]
  • A. Hörsel chosen
    Hörsel is a river in central Germany that flows through Thuringia and joins the Werra, contributing to the region’s drainage system.
  • B. Hörstel
    Hörstel is a small town in North Rhine-Westphalia, Germany, known for its location near the Teutoburg Forest and the Dortmund–Ems Canal.
  • C. Heuckewalde
    Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.