Triple

T15505698
Position Surface form Disambiguated ID Type / Status
Subject Camden, Mississippi E379074 entity
Predicate hasName P744 FINISHED
Object Camden
Camden is a small unincorporated community in Madison County, Mississippi, known for its rural character and historic Southern setting.
 E1160499 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, Mississippi, hasName, Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camden
Context triple: [Camden, Mississippi, 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. Camden
    Camden is a small city located in Ray County, Missouri, in the central United States.
  • D. Camden
    Camden is a historic town in the Macarthur region of New South Wales, Australia, known for its semi-rural character and colonial heritage on Sydney’s southwestern fringe.
  • E. Newark
    Newark is a city in northern Delaware known for being home to the University of Delaware and its vibrant college-town community.
  • 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, Mississippi, hasName, Camden]
Generated description
Camden is a small unincorporated community in Madison County, Mississippi, known for its rural character and historic Southern setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camden
Target entity description: Camden is a small unincorporated community in Madison County, Mississippi, known for its rural character and historic Southern setting.
  • 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. Camden
    Camden is a small city located in Ray County, Missouri, in the central United States.
  • D. Camden
    Camden is a historic town in the Macarthur region of New South Wales, Australia, known for its semi-rural character and colonial heritage on Sydney’s southwestern fringe.
  • E. Newark
    Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff364d82c48190b116528b5c00e918 completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff37871dfc8190892d22ff66515c0b completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff384962f88190964fc040a2a44aa8 completed May 9, 2026, 1:36 p.m.
Created at: April 10, 2026, 3:55 a.m.