Triple

T17616409
Position Surface form Disambiguated ID Type / Status
Subject Liptovská Mara E429093 entity
Predicate near P350 FINISHED
Object Liptovský Mikuláš 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: Liptovský Mikuláš | Statement: [Liptovská Mara, near, Liptovský Mikuláš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptovský Mikuláš
Context triple: [Liptovská Mara, near, Liptovský Mikuláš]
  • A. Liptovský Mikuláš chosen
    Liptovský Mikuláš is a town in northern Slovakia known as a gateway to the Low Tatras and a regional center of tourism, culture, and winter sports.
  • B. Liptovský Hrádok
    Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
  • C. Liptovský Ján
    Liptovský Ján is a Slovak village in the Liptov region known for its scenic mountain surroundings, thermal springs, and traditional architecture.
  • D. Liptovská Osada
    Liptovská Osada is a village in the Liptov region of northern Slovakia, known for its mountainous surroundings and proximity to the Low Tatras.
  • E. Liptovská Lúžna
    Liptovská Lúžna is a village in northern Slovakia, situated in the Liptov region and known for its mountainous surroundings and traditional rural character.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.