Triple

T10129233
Position Surface form Disambiguated ID Type / Status
Subject Claremont Graduate University E226291 entity
Predicate city P40 FINISHED
Object Claremont
Claremont is a small, affluent college town in eastern Los Angeles County, California, known for its consortium of higher education institutions collectively called the Claremont Colleges.
 E844471 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: Claremont | Statement: [Claremont Graduate University, city, Claremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Claremont
Context triple: [Claremont Graduate University, city, Claremont]
  • A. Claremont
    Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • B. Claremont
    Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
  • C. Claremont
    Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
  • D. Claremont
    Claremont is a residential area within the City of Salford in Greater Manchester, England.
  • E. Claremont
    Claremont is a small town located in the rural interior of Saint Ann Parish on Jamaica’s north coast.
  • 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: Claremont
Triple: [Claremont Graduate University, city, Claremont]
Generated description
Claremont is a small, affluent college town in eastern Los Angeles County, California, known for its consortium of higher education institutions collectively called the Claremont Colleges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Claremont
Target entity description: Claremont is a small, affluent college town in eastern Los Angeles County, California, known for its consortium of higher education institutions collectively called the Claremont Colleges.
  • A. Claremont
    Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
  • B. Claremont
    Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • C. Claremont
    Claremont is a residential area within the City of Salford in Greater Manchester, England.
  • D. Claremont
    Claremont is a small town located in the rural interior of Saint Ann Parish on Jamaica’s north coast.
  • E. Claremont
    Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd333186c819088bbf617967f24fa completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
NEDg Description generation batch_69d2e9eaf4f88190b9e18d0e1793b2c9 completed April 5, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69d2ea4020888190a544ccc771ac600e completed April 5, 2026, 11:03 p.m.
Created at: March 30, 2026, 9:05 p.m.