Triple

T19484168
Position Surface form Disambiguated ID Type / Status
Subject Rems-Murr-Kreis E487464 entity
Predicate hasMunicipality P847 FINISHED
Object Spiegelberg 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: Spiegelberg | Statement: [Rems-Murr-Kreis, hasMunicipality, Spiegelberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiegelberg
Context triple: [Rems-Murr-Kreis, hasMunicipality, Spiegelberg]
  • A. Spiegelberg chosen
    Spiegelberg is a rebellious and scheming member of the robber band in Friedrich Schiller’s play "Die Räuber," known for his ruthless ambition and treacherous nature.
  • B. Gilserberg
    Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • C. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • D. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • E. Eggerberg
    Eggerberg is a small Swiss municipality in the canton of Valais, known for its hillside location above the Rhône valley and views of the surrounding Alps.
  • 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_69e6343dcc748190b0df816e6ab4cafb completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.