Triple

T6843916
Position Surface form Disambiguated ID Type / Status
Subject Hesse E157843 entity
Predicate contains P35 FINISHED
Object Vogelsberg Mountains E435823 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: Vogelsberg Mountains | Statement: [Hesse, contains, Vogelsberg Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogelsberg Mountains
Context triple: [Hesse, contains, 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. Fichtel Mountains
    The Fichtel Mountains are a low mountain range in northeastern Bavaria, Germany, known for their forested granite peaks, scenic hiking trails, and role as a watershed between major European river systems.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b7179481909e3482fef47b2719 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748b5a7c08190983bd355a1bc76d7 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:19 p.m.