Triple

T17774303
Position Surface form Disambiguated ID Type / Status
Subject Hesse E443723 entity
Predicate containsMountainRange P651 FINISHED
Object Vogelsberg 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: Vogelsberg Mountains | Statement: [Hesse, containsMountainRange, Vogelsberg Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogelsberg Mountains
Context triple: [Hesse, containsMountainRange, Vogelsberg Mountains]
  • A. Vogelsberg chosen
    Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
  • B. Hagen Mountains
    The Hagen Mountains are a rugged limestone mountain range in the Northern Limestone Alps of Austria, forming part of the Berchtesgaden Alps near the Salzach River.
  • C. Mühlig-Hofmann Mountains
    The Mühlig-Hofmann Mountains are a major mountain range in Antarctica, forming part of the interior highlands of Queen Maud Land.
  • D. Mecsek Mountains
    The Mecsek Mountains are a low, forested mountain range in southern Hungary known for their scenic hiking trails, caves, and vineyards.
  • E. Vihorlat Mountains
    The Vihorlat Mountains are a volcanic mountain range in eastern Slovakia known for their dense forests, rich biodiversity, and the UNESCO-listed Primeval Beech Forests of the Carpathians.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871af4248190aed2b3bd42433771 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.