Triple

T15310650
Position Surface form Disambiguated ID Type / Status
Subject Whihala Beach area E366026 entity
Predicate hasView P854 FINISHED
Object Chicago skyline E288997 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: Chicago skyline | Statement: [Whihala Beach area, hasView, Chicago skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago skyline
Context triple: [Whihala Beach area, hasView, Chicago skyline]
  • A. Chicago skyline chosen
    The Chicago skyline is the iconic, high-rise cityscape along Lake Michigan, renowned for its distinctive skyscrapers and architectural diversity.
  • 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. Houston skyline
    The Houston skyline is the distinctive cluster of high-rise buildings and skyscrapers that defines the downtown Houston cityscape.
  • D. Seattle skyline
    The Seattle skyline is the iconic cityscape featuring the Space Needle and a cluster of downtown skyscrapers set against the backdrop of mountains and Puget Sound.
  • E. Phoenix skyline
    The Phoenix skyline is the distinctive cluster of high-rise buildings and urban landmarks that defines the central cityscape of Phoenix, Arizona, set against a backdrop of desert and surrounding mountains.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a20c1881909b387aed6f532c3d completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.