Triple

T367652
Position Surface form Disambiguated ID Type / Status
Subject Seattle Great Wheel E7997 entity
Predicate location P40 FINISHED
Object Seattle waterfront 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 waterfront | Statement: [Seattle Great Wheel, location, Seattle waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle waterfront
Context triple: [Seattle Great Wheel, location, Seattle waterfront]
  • A. Seattle, Washington, United States
    Seattle, Washington, United States is a major Pacific Northwest city known for its tech industry, vibrant cultural scene, and iconic landmarks like the Space Needle.
  • B. 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.
  • C. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • D. Everett, Washington, United States
    Everett, Washington, United States is a city north of Seattle best known as a major aerospace manufacturing hub and home to one of the world’s largest airplane assembly plants.
  • E. Tacoma, Washington
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebe92c7c8190b49af2b2b461eacc completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ecaaf780819081db5cfbe8af0894 completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.