Triple

T23347686
Position Surface form Disambiguated ID Type / Status
Subject Bellevue Way NE E591911 entity
Predicate hasCity P316 FINISHED
Object Bellevue
Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its thriving tech industry, upscale shopping districts, and skyline of modern high-rises.
E603601 NE FINISHED

How this triple was built (4 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: Bellevue | Statement: [Bellevue Way NE, hasCity, Bellevue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellevue
Context triple: [Bellevue Way NE, hasCity, Bellevue]
  • A. Bellevue
    Bellevue is a commuter rail station in West Roxbury, Boston, served by the MBTA's Needham Line.
  • B. Bellevue
    Bellevue is a residential suburb of Johannesburg, South Africa, known for its dense urban character and proximity to the inner-city neighborhoods of Yeoville and Berea.
  • C. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • D. Bellevue
    Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
  • E. Bellevue
    Bellevue is a city in eastern Nebraska, part of the Omaha metropolitan area and one of the state's oldest continuous settlements.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bellevue
Triple: [Bellevue Way NE, hasCity, Bellevue]
Generated description
Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its thriving tech industry, upscale shopping districts, and skyline of modern high-rises.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bellevue
Target entity description: Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its thriving tech industry, upscale shopping districts, and skyline of modern high-rises.
  • A. Bellevue chosen
    Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its thriving downtown, tech industry presence, and high quality of life.
  • B. Bellevue
    Bellevue is a small city in Blaine County, Idaho, known as a gateway community to the Sun Valley resort area in the Wood River Valley.
  • C. Bellevue
    Bellevue is a city in eastern Nebraska, part of the Omaha metropolitan area and one of the state's oldest continuous settlements.
  • D. Bellevue
    Bellevue is a residential suburb of Johannesburg, South Africa, known for its dense urban character and proximity to the inner-city neighborhoods of Yeoville and Berea.
  • E. Bellevue
    Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
  • F. None of above.

Provenance (5 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983840a481908c503e47ef2158e3 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c823a8038819080a60ec44643d945 completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eda1f481908482f3a66d576c3c completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7bdf7f08190b50191b029480fc5 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 5:19 p.m.