Triple

T10273856
Position Surface form Disambiguated ID Type / Status
Subject Košice Region E240912 entity
Predicate containsCity P294 FINISHED
Object Rožňava E287771 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: Rožňava | Statement: [Košice Region, containsCity, Rožňava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rožňava
Context triple: [Košice Region, containsCity, Rožňava]
  • A. Rožňava chosen
    Rožňava is a historic mining town in southern Slovakia known for its well-preserved medieval center and proximity to the Slovak Karst region.
  • B. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • C. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • D. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • E. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d288acf48190bbf14a5cb2dfe1f4 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71ceeeec88190a36a5e67dc44cfe1 completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:36 a.m.