Triple

T704738
Position Surface form Disambiguated ID Type / Status
Subject Mount Veeder AVA E14074 entity
Predicate grapeVariety P975 FINISHED
Object Syrah E58242 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: Syrah | Statement: [Mount Veeder AVA, grapeVariety, Syrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syrah
Context triple: [Mount Veeder AVA, grapeVariety, Syrah]
  • A. Syrah chosen
    Syrah is a dark-skinned wine grape variety known for producing full-bodied red wines with rich dark fruit flavors, peppery spice, and firm tannins, widely grown in regions such as the Rhône Valley, Australia, and parts of the Americas.
  • 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. Zinfandel
    Zinfandel is a robust, fruit-forward red wine grape variety widely associated with bold, spicy wines produced in California.
  • 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. Petit Verdot
    Petit Verdot is a deeply colored, tannic red wine grape variety from Bordeaux, valued for adding structure, color, and floral-spice complexity to blends.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a544e3608190ac315c7aa9f88e7e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a9338feedc8190bc5f489428babd82 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:36 p.m.