Triple

T5013584
Position Surface form Disambiguated ID Type / Status
Subject Saint-Laurent-sur-Mer E112684 entity
Predicate hasCoastlineOn P212 FINISHED
Object Baie de Seine E99794 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: Baie de Seine | Statement: [Saint-Laurent-sur-Mer, hasCoastlineOn, Baie de Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baie de Seine
Context triple: [Saint-Laurent-sur-Mer, hasCoastlineOn, Baie de Seine]
  • A. Baie de Seine chosen
    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.
  • 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. Loire estuary
    The Loire estuary is the broad tidal mouth where France’s longest river, the Loire, meets the Atlantic Ocean near the city of Nantes, forming an important ecological and economic zone.
  • E. Sèvre Nantaise
    The Sèvre Nantaise is a river in western France that flows through the Vendée and Loire-Atlantique departments before joining the Loire near the city of Nantes.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe4abf2c81908946d4ab18b7273d completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:35 p.m.