Triple

T5259
Position Surface form Disambiguated ID Type / Status
Subject John Harvard E103 entity
Predicate birthPlace P1 FINISHED
Object Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
 E2921 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: Surrey | Statement: [John Harvard, birthPlace, Surrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Surrey
Context triple: [John Harvard, birthPlace, Surrey]
  • A. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • B. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • C. Fife
    Fife is a historic council area and peninsula on Scotland’s east coast, known for its coastal towns, medieval heritage, and the university city of St Andrews.
  • D. Cambridge, England
    Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
  • 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: Surrey
Triple: [John Harvard, birthPlace, Surrey]
Generated description
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Surrey
Target entity description: Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • A. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • B. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • C. Fife
    Fife is a historic council area and peninsula on Scotland’s east coast, known for its coastal towns, medieval heritage, and the university city of St Andrews.
  • D. Cambridge, England
    Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
  • 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_69a24e51246c819098f53258d869ecde completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250b213c881909381abc66f5ebe68 completed Feb. 28, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69a2515b915c8190b122de0025bd954f completed Feb. 28, 2026, 2:22 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.