Triple

T23218529
Position Surface form Disambiguated ID Type / Status
Subject Kurpfalz E580817 entity
Predicate hasRegion P285 FINISHED
Object Bergstraße 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: Bergstraße | Statement: [Kurpfalz, hasRegion, Bergstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergstraße
Context triple: [Kurpfalz, hasRegion, Bergstraße]
  • A. Bergstraße chosen
    Bergstraße is a scenic region in southwestern Germany, famed for its mild climate, wine-growing landscapes, and picturesque towns along the western edge of the Odenwald.
  • B. Fischbachtal
    Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
  • C. Bodestraße
    Bodestraße is a street in central Berlin, Germany, located on Museum Island and known for its proximity to major cultural and academic institutions.
  • D. Vorbach
    Vorbach is a small river in Germany that serves as a tributary of the Tauber.
  • E. Baiertal
    Baiertal is a village and district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916653f08190a7dcbc659c6b6a25 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.