Triple

T5383388
Position Surface form Disambiguated ID Type / Status
Subject Kerry Park E113143 entity
Predicate hasViewOf P854 FINISHED
Object Seattle skyline E113140 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: Seattle skyline | Statement: [Kerry Park, hasViewOf, Seattle skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle skyline
Context triple: [Kerry Park, hasViewOf, Seattle skyline]
  • A. Seattle skyline chosen
    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.
  • B. Portland skyline
    The Portland skyline is the distinctive urban panorama of Portland, Oregon, characterized by its mid-rise downtown core framed by surrounding hills and prominently intersected by multiple Willamette River bridges.
  • C. Houston skyline
    The Houston skyline is the distinctive cluster of high-rise buildings and skyscrapers that defines the downtown Houston cityscape.
  • D. Chicago skyline
    The Chicago skyline is the iconic, high-rise cityscape along Lake Michigan, renowned for its distinctive skyscrapers and architectural diversity.
  • E. 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.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295030b081909bea5e946aac098b completed March 21, 2026, 11:27 p.m.
Created at: March 20, 2026, 2:03 p.m.