Triple

T12801900
Position Surface form Disambiguated ID Type / Status
Subject Camden, Missouri E306038 entity
Predicate hasName P744 FINISHED
Object Camden
Camden is a small city located in Ray County, Missouri, in the central United States.
 E1037468 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: Camden | Statement: [Camden, Missouri, hasName, Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camden
Context triple: [Camden, Missouri, hasName, Camden]
  • A. Camden
    Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • B. Camden
    Camden is a city in New Jersey located directly across the Delaware River from Philadelphia, known historically as an industrial hub and for its proximity to the larger Philadelphia metropolitan area.
  • C. Newark
    Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
  • D. Newark
    Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
  • E. Newark
    Newark was the early colonial town that served as the first capital of Upper Canada, located at the mouth of the Niagara River (now known as Niagara-on-the-Lake, Ontario).
  • 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: Camden
Triple: [Camden, Missouri, hasName, Camden]
Generated description
Camden is a small city located in Ray County, Missouri, in the central United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camden
Target entity description: Camden is a small city located in Ray County, Missouri, in the central United States.
  • A. Camden
    Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • B. Camden
    Camden is a city in New Jersey located directly across the Delaware River from Philadelphia, known historically as an industrial hub and for its proximity to the larger Philadelphia metropolitan area.
  • C. Newark
    Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
  • D. Newark
    Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
  • E. Newark
    Newark was the early colonial town that served as the first capital of Upper Canada, located at the mouth of the Niagara River (now known as Niagara-on-the-Lake, Ontario).
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7d3f5c8190bf01bef5d263ca26 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72658fa6c81909b9785d710c418e0 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 5:30 p.m.