Triple

T6840595
Position Surface form Disambiguated ID Type / Status
Subject La Rioja E157561 entity
Predicate hasGrapeVariety P33546 FINISHED
Object Tempranillo E296124 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: Tempranillo | Statement: [La Rioja, hasGrapeVariety, Tempranillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempranillo
Context triple: [La Rioja, hasGrapeVariety, Tempranillo]
  • A. Tempranillo chosen
    Tempranillo is a prominent red wine grape variety originating from Spain, known for producing medium- to full-bodied wines with flavors of red fruit, leather, and spice.
  • B. Grenache
    Grenache is a widely planted red wine grape variety known for producing fruity, medium-bodied wines, often used in blends in regions such as the Rhône Valley and Spain.
  • C. Malbec
    Malbec is a dark, full-bodied red wine grape variety known for its rich plum and blackberry flavors, most famously associated with Argentina.
  • D. Malvasía wine
    Malvasía wine is a distinctive, often sweet white wine made from Malvasia grapes, traditionally produced in various Mediterranean and Atlantic regions.
  • E. Merlot
    Merlot is a popular red wine grape variety known for producing smooth, medium- to full-bodied wines with soft tannins and flavors of plum, black cherry, and chocolate.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb4f80081908198c8270633d34a completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.