Triple

T18212798
Position Surface form Disambiguated ID Type / Status
Subject Vyšné Hágy E436074 entity
Predicate belongsTo P35 FINISHED
Object Slovak Tatras 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: Slovak Tatras | Statement: [Vyšné Hágy, belongsTo, Slovak Tatras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovak Tatras
Context triple: [Vyšné Hágy, belongsTo, Slovak Tatras]
  • A. Tatra Mountains chosen
    The Tatra Mountains are a rugged mountain range forming part of the Carpathians, renowned for their alpine peaks, glacial lakes, and role as a natural border between Slovakia and Poland.
  • B. Beskydy Mountains
    The Beskydy Mountains are a forested mountain range in the Carpathians of eastern Czech Republic and Slovakia, known for their scenic landscapes, hiking trails, and traditional mountain villages.
  • 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. Bieszczady Mountains
    The Bieszczady Mountains are a remote, scenic mountain range in southeastern Poland known for their rolling forested hills, wild nature, and popular 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 (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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e22a26308190a6720b41a9bbfc2d completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.