Triple

T3263464
Position Surface form Disambiguated ID Type / Status
Subject Morskie Oko E68467 entity
Predicate mountainRange P648 FINISHED
Object High Tatras E66004 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: High Tatras | Statement: [Morskie Oko, mountainRange, High Tatras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Tatras
Context triple: [Morskie Oko, mountainRange, High Tatras]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Krušné hory
    Krušné hory is a mountain range along the Czech–German border known for its historic mining heritage, forests, and winter sports resorts.
  • E. Veľká Fatra
    Veľká Fatra is a large, forested mountain range in Slovakia known for its rugged limestone peaks, deep valleys, and protected national park landscapes.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48819b284819092e0a8db20d3e3a2 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:09 p.m.