Triple

T4058086
Position Surface form Disambiguated ID Type / Status
Subject Liptov E84742 entity
Predicate hasTown P847 FINISHED
Object Liptovský Mikuláš E177149 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 Mikuláš | Statement: [Liptov, hasTown, Liptovský Mikuláš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptovský Mikuláš
Context triple: [Liptov, hasTown, 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. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • C. Liptovská Mara
    Liptovská Mara is a large reservoir in northern Slovakia, known for flood control, hydroelectric power generation, and recreational activities in the Liptov region.
  • D. Prešporok
    Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
  • E. Levoča
    Levoča is a historic town in eastern Slovakia renowned for its well-preserved medieval center and Gothic architecture, including the Church of St. James with its famous wooden altar by Master Paul.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbaefcb081908aab3963dcd61a20 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db6b01e48190a2e02597347f3348 completed March 14, 2026, 10:04 p.m.
Created at: March 9, 2026, 3:38 p.m.