Triple

T10348888
Position Surface form Disambiguated ID Type / Status
Subject Margaux E243827 entity
Predicate grapeVariety P975 FINISHED
Object Petit Verdot E10604 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: Petit Verdot | Statement: [Margaux, grapeVariety, Petit Verdot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petit Verdot
Context triple: [Margaux, grapeVariety, Petit Verdot]
  • A. Petit Verdot chosen
    Petit Verdot is a deeply colored, tannic red wine grape variety from Bordeaux, valued for adding structure, color, and floral-spice complexity to blends.
  • B. Petite Sirah
    Petite Sirah is a dark, full-bodied red wine grape variety known for its intense color, firm tannins, and rich, spicy flavors, often used in robust varietal wines and blends.
  • C. Chambourcin
    Chambourcin is a French-American hybrid red wine grape known for its deep color, aromatic character, and strong resistance to disease, widely grown in several cool- and warm-climate wine regions.
  • D. 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.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e946cbb881909b88536d0107995d completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc10284c8190bcce0f058b88ef0e completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 11:56 a.m.