Triple

T8478113
Position Surface form Disambiguated ID Type / Status
Subject Mecsek Mountains E200445 entity
Predicate hasVineyardRegion P6176 FINISHED
Object Pécs wine region E489541 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: Pécs wine region | Statement: [Mecsek Mountains, hasVineyardRegion, Pécs wine region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pécs wine region
Context triple: [Mecsek Mountains, hasVineyardRegion, Pécs wine region]
  • A. Sopron wine region
    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. Tokaj
    Tokaj is a historic town in northeastern Hungary renowned worldwide for its Tokaji wine region and sweet dessert wines.
  • D. Pannon wine region chosen
    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.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5216d6481908e25a49bcc2e00cc completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a196ad48190b3887a2a0c43f87f completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:12 p.m.