Triple

T9761484
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Dijon E236680 entity
Predicate contains P35 FINISHED
Object Source-Seine E46792 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: Source-Seine | Statement: [arrondissement of Dijon, contains, Source-Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Source-Seine
Context triple: [arrondissement of Dijon, contains, Source-Seine]
  • A. Source-Seine chosen
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • 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. River Seine
    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. Grand-Orly Seine Bièvre
    Grand-Orly Seine Bièvre is a French intercommunal structure in the southern suburbs of Paris that groups together multiple municipalities for coordinated local governance and development.
  • E. 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.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04ad9008190badfcebe2072ab83 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d3170e01408190969fdd8c366f9276 completed April 6, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:25 p.m.