Triple

T8928541
Position Surface form Disambiguated ID Type / Status
Subject Harbor Island, Seattle E212594 entity
Predicate near P350 FINISHED
Object Seattle downtown E37731 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 downtown | Statement: [Harbor Island, Seattle, near, Seattle downtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle downtown
Context triple: [Harbor Island, Seattle, near, Seattle downtown]
  • A. downtown Seattle chosen
    Downtown Seattle is the city’s central urban core, known for its dense cluster of offices, shops, cultural attractions, and waterfront views on Elliott Bay.
  • B. Seattle
    Seattle is a major coastal city in the U.S. state of Washington, known for its tech industry, vibrant music and arts scene, and iconic landmarks like the Space Needle.
  • C. 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.
  • 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. Downtown Portland
    Downtown Portland is the historic and commercial core of Portland, Maine, known for its waterfront, arts scene, and vibrant mix of shops, restaurants, and cultural attractions.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6672af10819084a6e50f0302f732 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d178b408c8819080cd15c1efcd7002 completed April 4, 2026, 8:46 p.m.
Created at: March 30, 2026, 6:57 p.m.