Triple

T4418426
Position Surface form Disambiguated ID Type / Status
Subject Orava E95035 entity
Predicate borders P224 FINISHED
Object Liptov E84742 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: Liptov | Statement: [Orava, borders, Liptov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptov
Context triple: [Orava, borders, Liptov]
  • A. Liptov chosen
    Liptov is a historical and geographical region in northern Slovakia, known for its mountainous landscapes, traditional villages, and popular tourist attractions such as the Low Tatras and Liptovská Mara reservoir.
  • B. Zemplín
    Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
  • C. Rožňava
    Rožňava is a historic mining town in southern Slovakia known for its well-preserved medieval center and proximity to the Slovak Karst region.
  • D. 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.
  • E. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551e7c6c819090fa5dfb5ac58e4c completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61fa6d88190b98810b542835817 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.