Triple

T22097041
Position Surface form Disambiguated ID Type / Status
Subject Pozsony County E546062 entity
Predicate borderedBy P224 FINISHED
Object Moson County 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: Moson County | Statement: [Pozsony County, borderedBy, Moson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moson County
Context triple: [Pozsony County, borderedBy, Moson County]
  • A. Moson County chosen
    Moson County was a historical administrative county of the Kingdom of Hungary, located in the western part of the country near the Austrian border.
  • B. Somogy County
    Somogy County is an administrative region in southwestern Hungary, known for its rural landscapes and proximity to Lake Balaton.
  • C. Zólyom County
    Zólyom County was a historic administrative county of the Kingdom of Hungary, located in what is now central Slovakia around the town of Zvolen.
  • D. Gömör-Kishont County
    Gömör-Kishont County was a historic administrative county of the Kingdom of Hungary, located in what is today southern Slovakia and northern Hungary.
  • E. Hont County
    Hont County was a historic administrative county of the Kingdom of Hungary, located in the Felvidék (Upper Hungary) region and now divided between modern Slovakia and Hungary.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128ea00d48190b020aba80dcdbec9 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:30 p.m.