Triple

T11973556
Position Surface form Disambiguated ID Type / Status
Subject Rimavská Sobota E284979 entity
Predicate hasRegion P285 FINISHED
Object Gemer E278192 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: Gemer | Statement: [Rimavská Sobota, hasRegion, Gemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemer
Context triple: [Rimavská Sobota, hasRegion, Gemer]
  • A. Gemer chosen
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • B. Gemerek
    Gemerek is a town and district in central Turkey known for its location within Sivas Province on the Anatolian plateau.
  • C. Geer
    Geer is a surname most notably associated with American actress and theatre director Ellen Geer and her family of performers.
  • D. Geremek
    Geremek is a Polish surname most notably associated with Bronisław Geremek, a prominent historian, Solidarity activist, and post-communist foreign minister of Poland.
  • E. Gery
    Gery is a spelling variant of the given name Gerry, typically used as a personal name.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4598d62a8819087f83912d1e45b27 completed May 1, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:46 p.m.