Triple

T20615803
Position Surface form Disambiguated ID Type / Status
Subject Canal du Centre E506561 entity
Predicate connectsWaterway P6307 FINISHED
Object Meuse 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: Meuse | Statement: [Canal du Centre, connectsWaterway, Meuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meuse
Context triple: [Canal du Centre, connectsWaterway, 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 (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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadbb3ac81908145f57fd6a94256 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.