Triple

T7401279
Position Surface form Disambiguated ID Type / Status
Subject Morvan Massif E170753 entity
Predicate drainedByRiver P4497 FINISHED
Object Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
 E671645 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: Arroux | Statement: [Morvan Massif, drainedByRiver, Arroux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arroux
Context triple: [Morvan Massif, drainedByRiver, Arroux]
  • A. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • 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: Arroux
Triple: [Morvan Massif, drainedByRiver, Arroux]
Generated description
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arroux
Target entity description: Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
  • A. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24f6b7c81908cb61395239d03a0 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ee52fd48190adebb6ae555663a4 completed March 28, 2026, 9:57 p.m.
NEDg Description generation batch_69c84fc4c61c8190853529ebd887c8e7 completed March 28, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69c850327c8c81908c3e1ccf58b5bd74 completed March 28, 2026, 10:03 p.m.
Created at: March 27, 2026, 3:10 p.m.