Triple

T13496694
Position Surface form Disambiguated ID Type / Status
Subject Roth (German) E320779 entity
Predicate isToponymFor P19572 FINISHED
Object Roth (district) E557013 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: Roth (district) | Statement: [Roth (German), isToponymFor, Roth (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth (district)
Context triple: [Roth (German), isToponymFor, Roth (district)]
  • A. Roth district chosen
    Roth district is an administrative district (Landkreis) in the state of Bavaria, Germany, known for its mix of small towns, rural landscapes, and proximity to the Nuremberg metropolitan area.
  • B. district of Roth
    The district of Roth is a rural administrative district in Middle Franconia, Bavaria, Germany, known for its mix of small towns, forests, and river landscapes.
  • C. Miltenberg district
    Miltenberg district is a rural administrative district (Landkreis) in Lower Franconia, Bavaria, Germany, known for its scenic Main River landscapes, historic towns, and wine-growing traditions.
  • D. Rohrbach District
    Rohrbach District is an administrative district in the Austrian state of Upper Austria, located in the Mühlviertel region.
  • E. Eppendorf district
    Eppendorf district is a well-known, affluent neighborhood in Hamburg, Germany, characterized by its historic architecture, green spaces, and major medical and research institutions.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7464125988190b26390669241cc20 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.