Triple

T9685644
Position Surface form Disambiguated ID Type / Status
Subject Tokaj E234399 entity
Predicate wineStyleProduced P2082 FINISHED
Object Tokaji Szamorodni 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 Szamorodni | Statement: [Tokaj, wineStyleProduced, Tokaji Szamorodni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokaji Szamorodni
Context triple: [Tokaj, wineStyleProduced, Tokaji Szamorodni]
  • A. Tokaj
    Tokaj is a historic town in northeastern Hungary renowned worldwide for its Tokaji wine region and sweet dessert wines.
  • B. 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.
  • C. 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.
  • D. Csokas
    Csokas is the surname of Marton Csokas, a New Zealand actor known for roles in films such as "The Lord of the Rings" and "Kingdom of Heaven."
  • E. Mátraháza
    Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
  • 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_69d1bcbbe0108190a7011d52ba24ba4b completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:16 p.m.