Triple

T2456131
Position Surface form Disambiguated ID Type / Status
Subject Marne department E54425 entity
Predicate containsCity P294 FINISHED
Object Épernay E96071 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: Épernay | Statement: [Marne department, containsCity, Épernay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Épernay
Context triple: [Marne department, containsCity, Épernay]
  • 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. Sainte-Menehould
    Sainte-Menehould is a historic commune in northeastern France, noted for its role in the French Revolution as a key stop where the fleeing royal family was recognized during the Flight to Varennes.
  • C. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • D. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • E. Saint-Germain-en-Laye
    Saint-Germain-en-Laye is a historic town in the western suburbs of Paris, France, known for its royal château and long association with the French monarchy.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ca655c81908612983ced5f5786 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.