Triple

T281192
Position Surface form Disambiguated ID Type / Status
Subject Impressionism E5357 entity
Predicate firstExhibitionLocation P6638 FINISHED
Object Paris E568 NE FINISHED

How this triple was built (3 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: Paris | Statement: [Impressionism, firstExhibitionLocation, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Impressionism, firstExhibitionLocation, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • C. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • D. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • E. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstExhibitionLocation
Context triple: [Impressionism, firstExhibitionLocation, Paris]
  • A. firstEditionHeldIn chosen
    Indicates the location where the first edition or initial occurrence of an event was held.
  • B. museumAt
    Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
  • C. museumCity
    Indicates the city in which a given museum is located.
  • D. hasExhibition
    Indicates that an entity organizes, hosts, or presents a particular exhibition.
  • E. hasArtGallery
    Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
  • F. None of above.

Provenance (4 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e0a23c0819083abee28b2dea49c completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a41034bb0c819088ee08dee7428af5 completed March 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69a25b77e028819087e606fc321219f7 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.