Triple

T510472
Position Surface form Disambiguated ID Type / Status
Subject Musée d'Orsay E10595 entity
Predicate locatedOn P40 FINISHED
Object Left Bank of the Seine E8855 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: Left Bank of the Seine | Statement: [Musée d'Orsay, locatedOn, Left Bank of the Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Left Bank of the Seine
Context triple: [Musée d'Orsay, locatedOn, Left Bank of the Seine]
  • A. Left Bank of the Seine chosen
    The Left Bank of the Seine is the historically bohemian, intellectual, and artistic southern side of central Paris, renowned for its cafés, universities, and literary culture.
  • B. Right Bank of the Seine
    The Right Bank of the Seine is the historically prominent northern bank of the Seine River in Paris, known for its major cultural, commercial, and political landmarks.
  • C. Left Bank
    Left Bank is a riverside area in Manchester, England, known for its cultural and civic buildings along the River Irwell.
  • D. Île de la Cité
    Île de la Cité is a historic island in the Seine at the heart of Paris, regarded as the city's medieval and spiritual center.
  • E. Bois de Boulogne
    Bois de Boulogne is a large public park on the western edge of Paris, France, known for its extensive woodlands, lakes, and recreational facilities.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f165b91c81908c2d2ba15c64b956 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a42835088190b489cc23629a44c0 completed March 1, 2026, 8:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.