Triple

T11353083
Position Surface form Disambiguated ID Type / Status
Subject Jelšava E268882 entity
Predicate historicalRegion P915 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: [Jelšava, historicalRegion, Gemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemer
Context triple: [Jelšava, historicalRegion, 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. Geremek
    Geremek is a Polish surname most notably associated with Bronisław Geremek, a prominent historian, Solidarity activist, and post-communist foreign minister of Poland.
  • D. Gery
    Gery is a spelling variant of the given name Gerry, typically used as a personal name.
  • E. Germoe
    Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.