Triple

T6203329
Position Surface form Disambiguated ID Type / Status
Subject Niers E138689 entity
Predicate mouthOfWatercourse P3817 FINISHED
Object Meuse E25802 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: Meuse | Statement: [Niers, mouthOfWatercourse, Meuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meuse
Context triple: [Niers, mouthOfWatercourse, Meuse]
  • A. Meuse chosen
    The Meuse is a major European river flowing through France, Belgium, and the Netherlands, historically important for transport, trade, and the development of surrounding regions.
  • B. Meuse
    Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
  • C. Sambre
    The Sambre is a major river in northern France and southern Belgium that flows through the Walloon region before joining the Meuse at Namur.
  • D. river Maas
    The river Maas, also known as the Meuse, is a major European waterway flowing through France, Belgium, and the Netherlands before emptying into the North Sea.
  • E. Rijn
    Rijn is the Dutch name for the major European river known in English as the Rhine.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626c23f481909d2b5b0a75c2ffff completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c750fd986c819099dcf429008e8cdf completed March 28, 2026, 3:54 a.m.
Created at: March 22, 2026, 4:20 p.m.