Triple

T12438240
Position Surface form Disambiguated ID Type / Status
Subject Washington State Route 520 E297202 entity
Predicate connects P390 FINISHED
Object Bellevue
Bellevue is a major city in the Seattle metropolitan area of Washington State, known for its thriving downtown, tech industry presence, and high quality of life.
 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: [Washington State Route 520, connects, Bellevue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bellevue
Context triple: [Washington State Route 520, connects, Bellevue]
  • A. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • B. 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.
  • 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 commuter rail station in West Roxbury, Boston, served by the MBTA's Needham Line.
  • E. 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.
  • 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: [Washington State Route 520, connects, Bellevue]
Generated description
Bellevue is a major city in the Seattle metropolitan area of Washington State, known for its thriving downtown, tech industry presence, and high quality of life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bellevue
Target entity description: Bellevue is a major city in the Seattle metropolitan area of Washington State, known for its thriving downtown, tech industry presence, and high quality of life.
  • 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 city in eastern Nebraska, part of the Omaha metropolitan area and one of the state's oldest continuous settlements.
  • C. 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.
  • D. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0683b90819098864f73b6976517 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf1c0af8c81908e025bc21f4f03b3 completed May 8, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69fdf2236fec8190a52c855428e50498 completed May 8, 2026, 2:24 p.m.
Created at: April 8, 2026, 9:55 p.m.