Triple

T3436587
Position Surface form Disambiguated ID Type / Status
Subject Petite Sirah E72466 entity
Predicate usedInBlendWith P4791 FINISHED
Object Zinfandel E72056 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: Zinfandel | Statement: [Petite Sirah, usedInBlendWith, Zinfandel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinfandel
Context triple: [Petite Sirah, usedInBlendWith, Zinfandel]
  • A. Zinfandel chosen
    Zinfandel is a robust, fruit-forward red wine grape variety widely associated with bold, spicy wines produced in California.
  • 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. Syrah
    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.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f4398c8190a75822068308037b completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c2144708190a4a620222eeee5d3 completed March 14, 2026, 11:53 a.m.
Created at: March 8, 2026, 3:16 p.m.