Triple

T19759046
Position Surface form Disambiguated ID Type / Status
Subject French Lorraine E474577 entity
Predicate containsDepartment P1467 FINISHED
Object Meuse E93477 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: [French Lorraine, containsDepartment, Meuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meuse
Context triple: [French Lorraine, containsDepartment, Meuse]
  • A. 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.
  • B. Meuse chosen
    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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531e79fc819094a9f88182e90dab completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdb3688c8190b791ec9d2ad87b94 completed May 16, 2026, 5:16 a.m.
Created at: April 10, 2026, 1:48 p.m.