Triple

T558408
Position Surface form Disambiguated ID Type / Status
Subject Pont-Aven School E11993 entity
Predicate namedAfter P63 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: [Pont-Aven School, namedAfter, Pont-Aven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Aven
Context triple: [Pont-Aven School, namedAfter, 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. Pont-Aven School
    The Pont-Aven School was a late 19th-century group of artists centered in Pont-Aven, Brittany, known for pioneering Synthetism and influencing Post-Impressionism through bold colors and simplified forms.
  • C. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • D. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • E. Volnay
    Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499df43f08190b514a38d36fc271d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bb88f88190b1de92ca77606d2f completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:32 p.m.