Triple

T19404408
Position Surface form Disambiguated ID Type / Status
Subject Chemin des Dames ridge E485413 entity
Predicate locatedNear P294 FINISHED
Object Aisne River 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: Aisne River | Statement: [Chemin des Dames ridge, locatedNear, Aisne River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aisne River
Context triple: [Chemin des Dames ridge, locatedNear, Aisne River]
  • A. Aisne
    Aisne is a department in northern France known for its historic towns, World War I battlefields, and rural landscapes.
  • B. Aisne chosen
    Aisne is a river in northeastern France that flows through the Champagne and Picardy regions before joining the Oise River.
  • C. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • D. Oise River
    The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
  • E. Marne
    Marne is a department in northeastern France known for its Champagne-producing vineyards and historic towns such as Reims and Châlons-en-Champagne.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257a361c8190bf019fc350faa225 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.