Triple

T15472085
Position Surface form Disambiguated ID Type / Status
Subject Beaugrenelle towers E376685 entity
Predicate hasPart P35 FINISHED
Object Tour Rive Gauche E376682 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: Tour Rive Gauche | Statement: [Beaugrenelle towers, hasPart, Tour Rive Gauche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour Rive Gauche
Context triple: [Beaugrenelle towers, hasPart, Tour Rive Gauche]
  • A. Tour Rive Gauche chosen
    Tour Rive Gauche is a high-rise residential and office tower located along the Seine in Paris’s 15th arrondissement.
  • B. Tour Montparnasse
    Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
  • C. Vieux Paris
    Vieux Paris is a celebrated photographic series by Eugène Atget that documents the streets, architecture, and everyday life of old Paris at the turn of the 20th century.
  • D. Into a Paris Quartier
    Into a Paris Quartier is a memoir-style travel book by American author Diane Johnson that explores daily life, history, and culture in a neighborhood of Paris.
  • E. Mon Paris
    Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0543f881909dfbbc77f2a96a1a completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.