Triple

T14148522
Position Surface form Disambiguated ID Type / Status
Subject Central Market Hall E350613 entity
Predicate offers P178 FINISHED
Object Tokaji wine E817184 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: Tokaji wine | Statement: [Central Market Hall, offers, Tokaji wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokaji wine
Context triple: [Central Market Hall, offers, Tokaji wine]
  • A. Tokaji Aszú chosen
    Tokaji Aszú is a historic Hungarian sweet wine made from botrytized grapes, renowned for its rich honeyed flavors, vibrant acidity, and long aging potential.
  • B. Tokaj
    Tokaj is a historic town in northeastern Hungary renowned worldwide for its Tokaji wine region and sweet dessert wines.
  • C. Szekszárd wine region
    Szekszárd wine region is a historic Hungarian wine-producing area renowned for its high-quality red wines, particularly blends based on Kadarka and Kékfrankos.
  • D. 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.
  • E. Gutedel wine
    Gutedel wine is a light, often dry white wine made from the Gutedel (Chasselas) grape, traditionally produced in the Markgräflerland region of southwest Germany.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:55 a.m.