Triple

T622488
Position Surface form Disambiguated ID Type / Status
Subject André Maginot E14542 entity
Predicate representedInParliament P6494 FINISHED
Object Meuse
Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
 E93477 NE FINISHED

How this triple was built (4 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: [André Maginot, representedInParliament, Meuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meuse
Context triple: [André Maginot, representedInParliament, 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. Rijn
    Rijn is the Dutch name for the major European river known in English as the Rhine.
  • C. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • D. 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.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Meuse
Triple: [André Maginot, representedInParliament, Meuse]
Generated description
Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meuse
Target entity description: Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
  • 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. Rijn
    Rijn is the Dutch name for the major European river known in English as the Rhine.
  • C. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • D. 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.
  • 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. chosen

Provenance (5 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787173e08190bef6734294b60c13 completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678dea88081908da0e9cbea83eadd completed March 3, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69a6792c41608190867fb257ff8d5d35 completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:35 p.m.