Triple

T9685619
Position Surface form Disambiguated ID Type / Status
Subject Tokaj E234399 entity
Predicate partOf P40 FINISHED
Object Tokaj wine region E234399 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: Tokaj wine region | Statement: [Tokaj, partOf, Tokaj wine region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokaj wine region
Context triple: [Tokaj, partOf, Tokaj wine region]
  • A. Tokaj chosen
    Tokaj is a historic town in northeastern Hungary renowned worldwide for its Tokaji wine region and sweet dessert wines.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Lechkhumi wine area
    Lechkhumi wine area is a historic Georgian wine-producing region in western Georgia, known for its mountainous vineyards and distinctive local grape varieties.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd0877c81909fde1989d946aae9 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910b7c148190b9061b1ce0520e8b completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.