Triple

T662290
Position Surface form Disambiguated ID Type / Status
Subject 1992 Winter Olympics E11781 entity
Predicate hostCity P1798 FINISHED
Object Albertville
Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
E82950 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: Albertville | Statement: [1992 Winter Olympics, hostCity, Albertville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albertville
Context triple: [1992 Winter Olympics, hostCity, Albertville]
  • A. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • B. Sorel
    Sorel is a footwear and outerwear brand best known for its durable, stylish winter boots and cold-weather gear.
  • C. Sorel
    Sorel is a French surname most notably associated with Georges Sorel, the influential early 20th-century philosopher and theorist of revolutionary syndicalism.
  • D. Springwood
    Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
  • E. Springwood
    Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
  • 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: Albertville
Triple: [1992 Winter Olympics, hostCity, Albertville]
Generated description
Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albertville
Target entity description: Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
  • A. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • B. Sorel
    Sorel is a footwear and outerwear brand best known for its durable, stylish winter boots and cold-weather gear.
  • C. Sorel
    Sorel is a French surname most notably associated with Georges Sorel, the influential early 20th-century philosopher and theorist of revolutionary syndicalism.
  • D. Springwood
    Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
  • E. Springwood
    Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd081e8819097f289961f5eff29 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c398cc748190ab720263096064ef completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4523e8081909464ca227b880e77 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cdae65808190b7191f63d5f16d9f completed March 2, 2026, 5:49 p.m.
Created at: March 1, 2026, 7:36 p.m.