Triple

T549114
Position Surface form Disambiguated ID Type / Status
Subject Lost Generation E11799 entity
Predicate associatedPlace P1481 FINISHED
Object Montparnasse E50208 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: Montparnasse | Statement: [Lost Generation, associatedPlace, Montparnasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montparnasse
Context triple: [Lost Generation, associatedPlace, Montparnasse]
  • A. Montparnasse chosen
    Montparnasse is a historic Parisian district famed for its early 20th-century artistic and literary scene, its cafés and studios frequented by avant-garde figures, and landmarks such as the Montparnasse Tower and cemetery.
  • B. Montmartre
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • C. Latin Quarter
    The Latin Quarter is a historic Parisian neighborhood famed for its universities, student life, and lively cafés and bookshops.
  • D. Gay Village
    Gay Village is a vibrant district in Manchester known for its LGBTQ+ nightlife, bars, clubs, and community events centered around Canal Street.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49900895c819092a131c185a758bf completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9b92f1c8190bdcf5ae3a07edb3a completed March 2, 2026, 1:36 a.m.
Created at: March 1, 2026, 7:32 p.m.