Triple

T1928307
Position Surface form Disambiguated ID Type / Status
Subject Ružomberok E40882 entity
Predicate locatedNear P294 FINISHED
Object Low Tatras E54250 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: Low Tatras | Statement: [Ružomberok, locatedNear, Low Tatras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low Tatras
Context triple: [Ružomberok, locatedNear, Low Tatras]
  • A. Low Tatras chosen
    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
    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. 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.
  • 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. Beskids
    The Beskids are a mountain range in the Carpathians of Central Europe, known for their forested peaks, hiking trails, and traditional rural landscapes across several countries including the Czech Republic, Slovakia, and Poland.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb26593308190835863b760449d04 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3eb5d2c8190b5afd16a822bf0e4 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.