Triple

T425866
Position Surface form Disambiguated ID Type / Status
Subject Ardennes Forest E9605 entity
Predicate drainedBy P165 FINISHED
Object Meuse River 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 River | Statement: [Ardennes Forest, drainedBy, Meuse River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meuse River
Context triple: [Ardennes Forest, drainedBy, Meuse River]
  • 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. Oude Maas
    The Oude Maas is a major distributary river in the western Netherlands that forms part of the complex Rhine–Meuse–Scheldt delta system.
  • C. Leine
    The Leine is a major river in central Germany that flows through the federal state of Lower Saxony, passing cities such as Göttingen and Hanover before joining the Aller.
  • D. Vaartsche Rijn
    Vaartsche Rijn is a historic canal in the Dutch province of Utrecht that connects the city of Utrecht with the Lower Rhine and forms part of its inland waterway network.
  • E. Rhine
    The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d217dc8190b5b751e94f44a841 completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.