Triple

T18248749
Position Surface form Disambiguated ID Type / Status
Subject Falakro Mountain E437024 entity
Predicate accessFrom P1985 FINISHED
Object Kato Nevrokopi 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: Kato Nevrokopi | Statement: [Falakro Mountain, accessFrom, Kato Nevrokopi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kato Nevrokopi
Context triple: [Falakro Mountain, accessFrom, Kato Nevrokopi]
  • A. Kato Nevrokopi chosen
    Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
  • B. Kamen
    Kamen is a town in North Rhine-Westphalia, Germany, known as a local industrial and transport hub in the Ruhr region.
  • C. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • D. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • E. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd7fa3708190baefd8d938d20807 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.