Triple

T17396516
Position Surface form Disambiguated ID Type / Status
Subject Operation Marne-Rheims E422967 entity
Predicate location P40 FINISHED
Object Marne River region 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 River region | Statement: [Operation Marne-Rheims, location, Marne River region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marne River region
Context triple: [Operation Marne-Rheims, location, Marne River region]
  • A. Marne River basin chosen
    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.
  • B. Somme region
    The Somme region is an area in northern France historically significant as the site of major World War I battles, particularly the Battle of the Somme.
  • C. Val-d'Oise
    Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
  • D. Oise-Aisne
    Oise-Aisne is a region in northern France that was a major World War I battlefield, notably during the Aisne and Oise-Aisne offensives.
  • E. Paris – Vallée de la Marne
    Paris – Vallée de la Marne is an intercommunal structure in the eastern suburbs of Paris that groups several municipalities for coordinated local administration and development.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abd9b748190bd55c863276d9e3a completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.