Triple

T22155948
Position Surface form Disambiguated ID Type / Status
Subject Mont Valérien slopes E547537 entity
Predicate hasViewOf P854 FINISHED
Object Paris skyline NE NERFINISHED

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: [Mont Valérien slopes, hasViewOf, Paris skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris skyline
Context triple: [Mont Valérien slopes, 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. Charlotte skyline
    The Charlotte skyline is the distinctive high-rise cityscape of Charlotte, North Carolina, dominated by modern skyscrapers and prominent financial headquarters.
  • E. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a29eb848190b0531ce7e45b1003 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.