Triple

T29944274
Position Surface form Disambiguated ID Type / Status
Subject Sémillon–Sauvignon Blanc–Muscadelle E760588 entity
Predicate isClassicBlendOfRegion P115331 FINISHED
Object Bordeaux white wines
Bordeaux white wines are French white wines, often dry and aromatic, renowned for their elegance and complexity and typically produced from blends of Sémillon, Sauvignon Blanc, and Muscadelle grapes.
 E383731 NE FINISHED

How this triple was built (3 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: Bordeaux white wines | Statement: [Sémillon–Sauvignon Blanc–Muscadelle, isClassicBlendOfRegion, Bordeaux white wines]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bordeaux white wines
Triple: [Sémillon–Sauvignon Blanc–Muscadelle, isClassicBlendOfRegion, Bordeaux white wines]
Generated description
Bordeaux white wines are French white wines, often dry and aromatic, renowned for their elegance and complexity and typically produced from blends of Sémillon, Sauvignon Blanc, and Muscadelle grapes.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: isClassicBlendOfRegion
Context triple: [Sémillon–Sauvignon Blanc–Muscadelle, isClassicBlendOfRegion, Bordeaux white wines]
  • A. isClassicOfArea chosen
    Indicates that something is recognized as a classic or exemplary work within a particular area, field, or domain.
  • B. isInlandVarietyOf
    Indicates that one entity is a variety or subtype of another that occurs specifically in inland (non-coastal) areas.
  • C. isTraditionalInCountry
    Indicates that something is customary, long-established, or commonly practiced within a particular country.
  • D. isPrimaryVarietyOf
    Indicates that one variety is the main or principal form of another related variety or entity.
  • E. isRegion
    Indicates that one entity functions as a geographic or administrative region associated with another entity.
  • F. None of above.

Provenance (6 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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6780a76b0819091e8781ee21191ac completed May 2, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27142c4ca48190a1d43bc96b9536e1 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714fad8188190bf86af12ee777b53 completed June 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a27198a097c8190aea66eba80acc1d8 completed June 8, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:23 p.m.