Triple

T10953451
Position Surface form Disambiguated ID Type / Status
Subject Aube department E258780 entity
Predicate hasRiver P165 FINISHED
Object Seine River E6962 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: Seine River | Statement: [Aube department, hasRiver, Seine River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seine River
Context triple: [Aube department, hasRiver, Seine River]
  • A. 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.
  • B. Front de Seine
    Front de Seine is a modern high-rise residential and commercial district in Paris known for its distinctive towers and redevelopment along the Left Bank of the Seine.
  • C. Source-Seine
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • D. Baie de Seine
    Baie de Seine is a coastal bay in northern France where the Seine River meets the English Channel, known for its maritime traffic and proximity to ports like Le Havre.
  • E. Oise River
    The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bee9b208190aee8f938dff3f234 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:23 p.m.