Triple

T7541777
Position Surface form Disambiguated ID Type / Status
Subject Victor Steinbrueck E178293 entity
Predicate authorOf P4244 FINISHED
Object Seattle Cityscape 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 Cityscape | Statement: [Victor Steinbrueck, authorOf, Seattle Cityscape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle Cityscape
Context triple: [Victor Steinbrueck, authorOf, Seattle Cityscape]
  • A. 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.
  • B. 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.
  • C. Uptown, Seattle
    Uptown, Seattle is a vibrant urban neighborhood at the base of Queen Anne Hill known for its arts, entertainment venues, and proximity to Seattle Center.
  • D. Cream City
    Cream City is a nickname for Milwaukee, Wisconsin, derived from the distinctive light-colored cream brick used in many of its historic buildings.
  • E. Seattle street grid
    The Seattle street grid is the organized network of streets and avenues that structures the layout and navigation of Seattle’s urban core and surrounding neighborhoods.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8750f80819088ddfb7a5580b5df completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.