Triple

T13589287
Position Surface form Disambiguated ID Type / Status
Subject Le Croisic E324648 entity
Predicate hasPort P35 FINISHED
Object Port du Croisic E515724 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: Port du Croisic | Statement: [Le Croisic, hasPort, Port du Croisic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port du Croisic
Context triple: [Le Croisic, hasPort, Port du Croisic]
  • A. Pontedeume
    Pontedeume is a coastal town and municipality in the autonomous community of Galicia in northwestern Spain, known for its historic center and scenic location at the mouth of the Eume River.
  • B. Cap-d’Ail
    Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
  • C. Bénodet
    Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
  • D. Port of Lorient
    The Port of Lorient is a major commercial and fishing harbor on France’s Atlantic coast, known for its maritime industry, naval facilities, and role in regional trade.
  • E. Le Croisic chosen
    Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc347b881908267455f3bdd50e8 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.