Triple

T348025
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux E6982 entity
Predicate hasSubregion P285 FINISHED
Object Haut-Médoc E49037 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: Haut-Médoc | Statement: [Bordeaux, hasSubregion, Haut-Médoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haut-Médoc
Context triple: [Bordeaux, hasSubregion, Haut-Médoc]
  • A. Médoc chosen
    Médoc is a renowned wine-producing area in southwestern France, famous for its high-quality red Bordeaux wines made predominantly from Cabernet Sauvignon.
  • B. Pomerol
    Pomerol is a prestigious wine-producing appellation in Bordeaux, France, renowned for its rich, Merlot-dominant red wines.
  • C. Bordeaux
    Bordeaux is a renowned wine-producing region in southwestern France, famous for its prestigious red blends and long winemaking tradition.
  • D. Entre-Deux-Mers
    Entre-Deux-Mers is a wine-producing subregion of Bordeaux in southwestern France, known primarily for its dry white wines.
  • E. Anjou
    Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1c1c908190b3a01de893207ed1 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4034be57081908209a54a641a09f3 completed March 1, 2026, 9:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.