Triple

T1877350
Position Surface form Disambiguated ID Type / Status
Subject Taunus region E39173 entity
Predicate contains P35 FINISHED
Object Rhine valley slopes E89597 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: Rhine valley slopes | Statement: [Taunus region, contains, Rhine valley slopes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhine valley slopes
Context triple: [Taunus region, contains, Rhine valley slopes]
  • A. Left Bank of the Rhine chosen
    The Left Bank of the Rhine is the western riverside region of the Rhine in Europe, historically significant as a strategic and contested territory among major continental powers.
  • B. Odenwald
    Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
  • C. Basel-Landschaft
    Basel-Landschaft is a canton in northwestern Switzerland known for its proximity to Basel and its mix of industrial centers, suburban communities, and rural landscapes.
  • D. Rhône Valley
    The Rhône Valley is a major river valley in southeastern France renowned for its wine-producing regions, varied landscapes, and role as a key north–south transport corridor.
  • E. Black Forest
    The Black Forest is a large, densely wooded mountain range in southwestern Germany known for its picturesque villages, cuckoo clocks, and origin of the Danube River.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0da543481908ab25806e6b80375 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf59a5b48190bb4b47641681ebb7 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.