Triple

T5034936
Position Surface form Disambiguated ID Type / Status
Subject Transdanubia E113398 entity
Predicate containsWineRegion P8842 FINISHED
Object Sopron wine region E430286 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: Sopron wine region | Statement: [Transdanubia, containsWineRegion, Sopron wine region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sopron wine region
Context triple: [Transdanubia, containsWineRegion, Sopron wine region]
  • A. Sopron wine region chosen
    Sopron wine region is a historic Hungarian wine-producing area near the Austrian border, known especially for its Kékfrankos (Blaufränkisch) red wines.
  • B. Balaton wine region
    The Balaton wine region is a prominent Hungarian wine-producing area surrounding Lake Balaton, known for its volcanic soils, white wines, and scenic vineyard landscapes.
  • C. Pannon wine region
    The Pannon wine region is a major Hungarian wine-producing area in the southern part of Transdanubia, known for its warm climate and full-bodied red wines.
  • D. Tokaj
    Tokaj is a historic town in northeastern Hungary renowned worldwide for its Tokaji wine region and sweet dessert wines.
  • E. Brda wine region
    The Brda wine region is a renowned Slovenian wine-growing area known for its rolling hills, Mediterranean-influenced climate, and high-quality white and red wines, particularly Rebula.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b8646c8190b3cc20193e4639ee completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0f21d308190adbac06397f90cee completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:36 p.m.