Triple

T2466878
Position Surface form Disambiguated ID Type / Status
Subject Valmur E55271 entity
Predicate locatedIn P40 FINISHED
Object Burgundy E6890 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: Burgundy | Statement: [Valmur, locatedIn, Burgundy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgundy
Context triple: [Valmur, locatedIn, Burgundy]
  • A. Burgundy chosen
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • B. Beaujolais
    Beaujolais is a French wine-producing region best known for its light, fruity red wines made primarily from the Gamay grape, including the popular Beaujolais Nouveau.
  • C. Mâconnais
    Mâconnais is a wine-producing subregion in southern Burgundy, France, best known for its Chardonnay-based white wines.
  • D. Côte Chalonnaise
    Côte Chalonnaise is a wine-producing subregion of Burgundy in eastern France, known for its value-driven red and white wines primarily from Pinot Noir and Chardonnay.
  • E. Côte des Bar
    Côte des Bar is a southern Champagne-producing area in France known for its rolling hills, Kimmeridgian soils, and Pinot Noir–dominant sparkling wines.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc62dc38c8190a392c4179a78ae97 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:44 p.m.