Triple

T9685643
Position Surface form Disambiguated ID Type / Status
Subject Tokaj E234399 entity
Predicate wineStyleProduced P2082 FINISHED
Object Tokaji Aszú 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 Aszú | Statement: [Tokaj, wineStyleProduced, Tokaji Aszú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokaji Aszú
Context triple: [Tokaj, wineStyleProduced, Tokaji Aszú]
  • 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. 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.
  • D. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • E. Furmint
    Furmint is a white grape variety from Central Europe, best known as the backbone of Hungary’s Tokaji wines, prized for its high acidity and ability to produce both dry and lusciously sweet, botrytized styles.
  • 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_69d1af80358881909cdd91f2aed33ef6 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:16 p.m.