Triple

T4047215
Position Surface form Disambiguated ID Type / Status
Subject Tramway du Mont-Blanc E84094 entity
Predicate hasStation P35 FINISHED
Object 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.
E451403 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: [Tramway du Mont-Blanc, hasStation, Bellevue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellevue
Context triple: [Tramway du Mont-Blanc, hasStation, Bellevue]
  • A. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • B. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • C. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • D. City of Bellevue
    The City of Bellevue is a major suburban municipality in Washington State, known for its thriving downtown, tech industry presence, and role as an economic and cultural hub of the Seattle metropolitan area.
  • E. Bellevue, Washington, United States
    Bellevue, Washington, United States is a major city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and role as a regional business and retail hub.
  • 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: [Tramway du Mont-Blanc, hasStation, Bellevue]
Generated description
Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bellevue
Target entity description: Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
  • A. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • B. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • C. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • D. City of Bellevue
    The City of Bellevue is a major suburban municipality in Washington State, known for its thriving downtown, tech industry presence, and role as an economic and cultural hub of the Seattle metropolitan area.
  • E. Bellevue, Washington, United States
    Bellevue, Washington, United States is a major city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and role as a regional business and retail hub.
  • F. None of above. chosen

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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8f4eab88190b123aca20feb8d63 completed March 20, 2026, 9:15 p.m.
NEDg Description generation batch_69bdbe52d6448190abe2d55dd1af8939 completed March 20, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69bdbec3b3e48190921cd07602e4be8c completed March 20, 2026, 9:40 p.m.
Created at: March 9, 2026, 3:37 p.m.