Triple

T17551053
Position Surface form Disambiguated ID Type / Status
Subject Pol Roger E427463 entity
Predicate headquartersLocation P62 FINISHED
Object Épernay, France NE NERFINISHED

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: Épernay, France | Statement: [Pol Roger, headquartersLocation, Épernay, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Épernay, France
Context triple: [Pol Roger, headquartersLocation, Épernay, France]
  • A. Épernay chosen
    Épernay is a renowned French town in the Champagne region, famous as a center of champagne production and home to many of the world’s leading champagne houses.
  • B. Ermont, France
    Ermont is a suburban commune in the northern outskirts of Paris, France, known for its residential character and transport links within the Val-d'Oise department.
  • C. Chantilly, France
    Chantilly, France is a historic town in northern France renowned for its grand Château de Chantilly, extensive art collections, and tradition of fine lace and whipped cream.
  • D. Champagne, France
    Champagne, France is a historic region in northeastern France renowned for its sparkling wine production and its role as a significant World War I battleground.
  • E. Fontainebleau, France
    Fontainebleau, France is a historic town southeast of Paris best known for its vast forest and royal château, long associated with French monarchs and outdoor recreation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.