Triple

T3206623
Position Surface form Disambiguated ID Type / Status
Subject Fatra Mountains E67176 entity
Predicate hasPart P35 FINISHED
Object Veľká Fatra E304337 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: Veľká Fatra | Statement: [Fatra Mountains, hasPart, Veľká Fatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veľká Fatra
Context triple: [Fatra Mountains, hasPart, Veľká Fatra]
  • A. Veľká Fatra chosen
    Veľká Fatra is a large, forested mountain range in Slovakia known for its rugged limestone peaks, deep valleys, and protected national park landscapes.
  • B. Malá Fatra
    Malá Fatra is a mountain range in northern Slovakia known for its rugged peaks, deep valleys, and popular hiking and skiing areas within the Malá Fatra National Park.
  • C. Low Tatras
    The Low Tatras are a major mountain range in central Slovakia, known for their national parks, ski resorts, and role as a backdrop to key events in Slovak history.
  • D. Veľká Fatra National Park
    Veľká Fatra National Park is a mountainous protected area in central Slovakia known for its extensive forests, diverse wildlife, and scenic hiking trails.
  • E. Krušné hory
    Krušné hory is a mountain range along the Czech–German border known for its historic mining heritage, forests, and winter sports resorts.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa56c21c8190b6aa7c56cb15ad56 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2622234148190a11145cc715cf1bd completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.