Triple

T3189127
Position Surface form Disambiguated ID Type / Status
Subject Semois River E66774 entity
Predicate mouthOf P1008 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: [Semois River, mouthOf, Meuse River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meuse River
Context triple: [Semois River, mouthOf, Meuse River]
  • A. Meuse
    Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
  • B. 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.
  • 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. Moselle River
    The Moselle River is a major European waterway flowing through France, Luxembourg, and Germany, renowned for its scenic valleys and wine-producing regions.
  • E. Erft River
    The Erft River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and known for passing historic towns and former mining areas before joining the Rhine near Neuss.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e491508190bc881feaee3889bc completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a63fb6081909a7a15cf8a03e52e completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:06 p.m.