Triple

T19960065
Position Surface form Disambiguated ID Type / Status
Subject East Hesse E479787 entity
Predicate contains P35 FINISHED
Object Rhön Mountains 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: Rhön Mountains | Statement: [East Hesse, contains, Rhön Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhön Mountains
Context triple: [East Hesse, contains, Rhön Mountains]
  • A. Rhön chosen
    Rhön is a low mountain range in central Germany known for its volcanic landscape, open plateaus, and designation as a UNESCO Biosphere Reserve.
  • B. Kyffhäuser hills
    The Kyffhäuser hills are a low mountain range in central Germany known for the Kyffhäuser Monument and their association with the Barbarossa legend.
  • C. Thuringian Slate Mountains
    The Thuringian Slate Mountains are a low mountain range in central Germany known for their slate-rich geology, dense forests, and traditional mining and slate-working heritage.
  • D. Harz
    Harz is a low mountain range in central Germany known for its dense forests, mining history, and association with German folklore such as the Brocken and Walpurgis Night.
  • E. Franconian Forest
    The Franconian Forest is a low mountain range in northern Bavaria, Germany, known for its extensive woodlands, hiking trails, and role as a watershed between the Main and Saale river systems.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af386548190aefac1e40aac403d completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.