Triple

T13365706
Position Surface form Disambiguated ID Type / Status
Subject Madrid wine region E318932 entity
Predicate grapeVariety P975 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: [Madrid wine region, grapeVariety, Tempranillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempranillo
Context triple: [Madrid wine region, grapeVariety, 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. Godello
    Godello is a high-quality white wine grape from northwestern Spain, known for producing aromatic, mineral-driven wines with good acidity and aging potential.
  • C. Rioja
    Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
  • D. 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.
  • E. Malbec
    Malbec is a dark, full-bodied red wine grape variety known for its rich plum and blackberry flavors, most famously associated with Argentina.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7267e9d608190b36f58a92d4a9964 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.