Triple

T10815515
Position Surface form Disambiguated ID Type / Status
Subject Gouais E255217 entity
Predicate crossedWith P18327 FINISHED
Object Pinot noir E5011 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: Pinot noir | Statement: [Gouais, crossedWith, Pinot noir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinot noir
Context triple: [Gouais, crossedWith, Pinot noir]
  • A. Pinot Noir chosen
    Pinot Noir is a thin-skinned, cool-climate red wine grape variety renowned for producing elegant, aromatic wines with red fruit flavors and notable complexity.
  • B. Pinot
    Pinot is a family of closely related wine grape varieties, including Pinot Noir, Pinot Gris, and Pinot Blanc, widely used in fine wine production.
  • C. Pinot Teinturier
    Pinot Teinturier is a rare red-fleshed grape variety of the Pinot family, traditionally used to produce deeply colored red wines and to enhance blends.
  • D. Pinot Gris
    Pinot Gris is a white wine grape variety known for producing aromatic, medium-bodied wines with flavors ranging from crisp citrus and green apple to richer pear and spice, depending on climate and winemaking style.
  • E. Zinfandel
    Zinfandel is a robust, fruit-forward red wine grape variety widely associated with bold, spicy wines produced in California.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.