Triple

T19251727
Position Surface form Disambiguated ID Type / Status
Subject Andematunnum E481407 entity
Predicate overlooks P1323 FINISHED
Object Marne valley 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: Marne valley | Statement: [Andematunnum, overlooks, Marne valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marne valley
Context triple: [Andematunnum, overlooks, Marne valley]
  • A. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • B. Bièvre valley
    The Bièvre valley is a small river valley in the Île-de-France region near Paris, known for its historical role in local industry and its semi-rural landscapes amid the surrounding urban area.
  • C. Marne River basin
    The Marne River basin is a major drainage area in northeastern France that collects the waters of the Marne River and its tributaries before they flow into the Seine.
  • D. Marne
    Marne is a department in northeastern France known for its Champagne-producing vineyards and historic towns such as Reims and Châlons-en-Champagne.
  • E. Marne chosen
    The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb30bf6c819094c44aceb544a023 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.