Triple

T13821829
Position Surface form Disambiguated ID Type / Status
Subject Hala Gąsienicowa E332155 entity
Predicate hasViewOf P854 FINISHED
Object High Tatras peaks 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 peaks | Statement: [Hala Gąsienicowa, hasViewOf, High Tatras peaks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Tatras peaks
Context triple: [Hala Gąsienicowa, hasViewOf, High Tatras peaks]
  • 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. 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.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.