Triple

T11890493
Position Surface form Disambiguated ID Type / Status
Subject 2016 European floods E282900 entity
Predicate mainRiverAffected P75568 FINISHED
Object Seine E6962 NE FINISHED

How this triple was built (3 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: Seine | Statement: [2016 European floods, mainRiverAffected, Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seine
Context triple: [2016 European floods, mainRiverAffected, Seine]
  • A. Amper River
    The Amper River is a Bavarian river that flows through Upper Bavaria, including the district of Freising, before joining the Isar River.
  • B. 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.
  • C. River Seine chosen
    The River Seine is a major waterway in northern France that flows through the heart of Paris and is central to the city's history, culture, and landscape.
  • D. Eure River
    The Eure River is a tributary of the Seine in northern France that flows through the city of Chartres and several other towns in the Normandy and Centre-Val de Loire 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainRiverAffected
Context triple: [2016 European floods, mainRiverAffected, Seine]
  • A. mainRiverAssociated
    Indicates that one entity is associated with, or primarily linked to, a particular main river.
  • B. impactedRiver
    Indicates that one entity has caused a significant effect, alteration, or disturbance to a river or its conditions.
  • C. riverConcerned chosen
    Indicates a relationship in which a river is the primary focus or subject of concern, attention, or impact in a given context.
  • D. isMajorWatercourseOf
    Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
  • E. associatedRiverBasin
    Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
  • F. None of above.

Provenance (4 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a3f7548190adfb567f060a175a completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6344b938c8190877bd3140ad904e9 completed May 2, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.