Triple

T8679380
Position Surface form Disambiguated ID Type / Status
Subject Knickerbocker Hotel E205994 entity
Predicate hasView P854 FINISHED
Object Manhattan skyline E50971 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: Manhattan skyline | Statement: [Knickerbocker Hotel, hasView, Manhattan skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan skyline
Context triple: [Knickerbocker Hotel, hasView, Manhattan skyline]
  • A. Manhattan skyline chosen
    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.
  • B. 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.
  • C. Paris skyline
    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.
  • D. Empire State
    Empire State is a well-known nickname for the U.S. state of New York, reflecting its historical wealth, influence, and prominence.
  • E. Empire State
    Empire State is a 2013 American crime drama film about a pair of friends who plan a major armored car depot heist in New York City.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f8fa948190a070e90d17b4ede2 completed March 31, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a98ee881908d546e9a55217792 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.