Triple

T9418123
Position Surface form Disambiguated ID Type / Status
Subject Žilina Region E227080 entity
Predicate contains P35 FINISHED
Object Liptovský Hrádok E438519 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: Liptovský Hrádok | Statement: [Žilina Region, contains, Liptovský Hrádok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptovský Hrádok
Context triple: [Žilina Region, contains, Liptovský Hrádok]
  • A. Liptovský Hrádok chosen
    Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
  • B. Liptovský Ján
    Liptovský Ján is a Slovak village in the Liptov region known for its scenic mountain surroundings, thermal springs, and traditional architecture.
  • C. Liptovské Sliače
    Liptovské Sliače is a village in the Liptov region of northern Slovakia, known for its traditional architecture and scenic mountainous surroundings.
  • D. Považská Bystrica
    Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
  • E. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cd1e3481909abcb715e2398120 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2817858008190b150417f9ef59b48 completed April 5, 2026, 3:36 p.m.
Created at: March 30, 2026, 7:48 p.m.