Triple

T14448832
Position Surface form Disambiguated ID Type / Status
Subject Bois d’Amour E358277 entity
Predicate municipality P852 FINISHED
Object Pont-Aven E71314 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: Pont-Aven | Statement: [Bois d’Amour, municipality, Pont-Aven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Aven
Context triple: [Bois d’Amour, municipality, Pont-Aven]
  • A. Pont-Aven chosen
    Pont-Aven is a picturesque commune in Brittany, France, renowned for inspiring 19th-century artists like Paul Gauguin and giving its name to the Pont-Aven School of painting.
  • B. Pontavenais
    Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
  • C. 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.
  • D. Commune of Pont-Aven
    The Commune of Pont-Aven is a small coastal town and municipality in Brittany, France, renowned for its picturesque setting and its historic association with artists such as Paul Gauguin and the Pont-Aven School.
  • E. Restigné
    Restigné is a commune in central France’s Loire Valley, known for its vineyards and wine production within the Bourgueil appellation.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648d8904819084d720a0fd2ddb4b completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.