Triple

T15327458
Position Surface form Disambiguated ID Type / Status
Subject Black Sage Bench E366447 entity
Predicate grapeVariety P975 FINISHED
Object Malbec E17947 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: Malbec | Statement: [Black Sage Bench, grapeVariety, Malbec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malbec
Context triple: [Black Sage Bench, grapeVariety, Malbec]
  • A. Malbec chosen
    Malbec is a dark, full-bodied red wine grape variety known for its rich plum and blackberry flavors, most famously associated with Argentina.
  • B. Bonarda
    Bonarda is a red wine grape variety widely cultivated in Argentina, known for producing deeply colored, fruit-forward wines with soft tannins.
  • C. 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.
  • D. Carménère
    Carménère is a dark-skinned red wine grape, historically from Bordeaux but now most famously grown in Chile, known for producing deeply colored, herbaceous wines with notes of red fruits and green pepper.
  • E. Torrontés wine
    Torrontés wine is a highly aromatic, crisp white wine variety from Argentina, noted for its floral, citrusy character and refreshing acidity.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8af92a88190bd47f1a484f25eb1 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.