Triple

T17474070
Position Surface form Disambiguated ID Type / Status
Subject Cabourg E425491 entity
Predicate canton P3942 FINISHED
Object Cabourg NE NERFINISHED

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: Cabourg | Statement: [Cabourg, canton, Cabourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabourg
Context triple: [Cabourg, canton, Cabourg]
  • A. Cabourg chosen
    Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
  • B. Wimereux
    Wimereux is a seaside resort town on France’s northern Opal Coast, known for its sandy beaches, Belle Époque villas, and coastal promenades.
  • C. Sandouville
    Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
  • D. Cauville-sur-Mer
    Cauville-sur-Mer is a coastal commune in the Normandy region of northern France, situated near the city of Le Havre.
  • E. Bailleul
    Bailleul is a commune in northern France known for its Flemish-style architecture and location near the Belgian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451baa7b0819092035fec42305397 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.