Triple

T30668977
Position Surface form Disambiguated ID Type / Status
Subject Schloss Johannisberg E780740 entity
Predicate vineyardMonoculture P17952 FINISHED
Object Riesling LITERAL 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: Riesling | Statement: [Schloss Johannisberg, vineyardMonoculture, Riesling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vineyardMonoculture
Context triple: [Schloss Johannisberg, vineyardMonoculture, Riesling]
  • A. viticulturalFocus chosen
    Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
  • B. viticulturePractice
    Indicates a relationship where a specific method, technique, or practice is used in the cultivation and management of grapevines.
  • C. viticulturalUse
    Indicates the way in which something is used or applied within the context of viticulture, such as grape growing or vineyard management practices.
  • D. viticulturalChallenge
    Indicates a relationship where one party faces or presents a difficulty, problem, or obstacle specifically related to grape growing or vineyard management.
  • E. hasVineyards
    Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
  • F. None of above.

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_69f224a7fc208190a07d6d3879b31640 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68b121eac81909e90416207bc1157 completed May 2, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69f6861170d08190bb98be609d436f84 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:31 p.m.