Triple

T22810229
Position Surface form Disambiguated ID Type / Status
Subject ’s-Hertogenbosch–Maas E564651 entity
Predicate partOf P40 FINISHED
Object River Maas — 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: River Maas | Statement: [’s-Hertogenbosch–Maas, partOf, River Maas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Maas
Context triple: [’s-Hertogenbosch–Maas, partOf, River Maas]
  • A. river Maas chosen
    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.
  • B. Rijn
    Rijn is the Dutch name for the major European river known in English as the Rhine.
  • C. 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.
  • D. Meuse
    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.
  • E. Meuse
    Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d60186881908f6cb609c536dc91 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.