Triple

T16161875
Position Surface form Disambiguated ID Type / Status
Subject Galeries Lafayette Haussmann E392197 entity
Predicate hasViewOf P854 FINISHED
Object Paris skyline E251804 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: Paris skyline | Statement: [Galeries Lafayette Haussmann, hasViewOf, Paris skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris skyline
Context triple: [Galeries Lafayette Haussmann, hasViewOf, Paris skyline]
  • A. Paris skyline chosen
    The Paris skyline is the iconic cityscape of France’s capital, marked by landmarks like the Eiffel Tower, historic Haussmannian rooftops, and church spires rising above the urban landscape.
  • B. Manhattan skyline
    The Manhattan skyline is the iconic, densely packed silhouette of New York City’s skyscrapers, prominently featuring landmarks like One World Trade Center and the Empire State Building.
  • C. Philadelphia skyline
    The Philadelphia skyline is the distinctive cluster of high-rise buildings and landmarks that defines the city’s urban silhouette along the Schuylkill and Delaware Rivers.
  • D. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • E. Chicago skyline
    The Chicago skyline is the iconic, high-rise cityscape along Lake Michigan, renowned for its distinctive skyscrapers and architectural diversity.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5ffba88190b9dc7bb9afb6fdf2 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b33f3481909fe856b8be7d9bcd completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.