Triple

T23453176
Position Surface form Disambiguated ID Type / Status
Subject Bad Kissingen E567840 entity
Predicate locatedNear P294 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: [Bad Kissingen, locatedNear, Rhön Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhön Mountains
Context triple: [Bad Kissingen, locatedNear, 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. Wiehengebirge
    Wiehengebirge is a low mountain range in northwestern Germany, known as part of the northern edge of the German Central Uplands.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a694f19081909117bc9b10ca8a83 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:52 p.m.