Triple

T5698
Position Surface form Disambiguated ID Type / Status
Subject Tim Berners-Lee E111 entity
Predicate workLocation P7 FINISHED
Object Geneva
Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
 E414 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: Geneva | Statement: [Tim Berners-Lee, workLocation, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geneva
Context triple: [Tim Berners-Lee, workLocation, Geneva]
  • A. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Washington, D.C.
    Washington, D.C. is the capital city of the United States, serving as the nation’s political center and home to its federal government institutions.
  • D. Carnegie
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • E. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • 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: Geneva
Triple: [Tim Berners-Lee, workLocation, Geneva]
Generated description
Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geneva
Target entity description: Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • A. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Washington, D.C.
    Washington, D.C. is the capital city of the United States, serving as the nation’s political center and home to its federal government institutions.
  • D. Carnegie
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • E. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a2399d5cf88190998f9b95c817a60f completed Feb. 28, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69a23d871f1081909f1690b0fdf5afd0 completed Feb. 28, 2026, 12:57 a.m.
NEDg Description generation batch_69a23f93f3488190ba464dc9f36c837f completed Feb. 28, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69a23fff6a588190b64366758e5f1c4f completed Feb. 28, 2026, 1:08 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.