Triple

T16324599
Position Surface form Disambiguated ID Type / Status
Subject North Central Florida E396380 entity
Predicate hasMajorCity P316 FINISHED
Object Jasper
Jasper is a small city in Hamilton County, North Central Florida, known as a rural community and local government seat.
 E1207548 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: Jasper | Statement: [North Central Florida, hasMajorCity, Jasper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jasper
Context triple: [North Central Florida, hasMajorCity, Jasper]
  • A. Jasper
    Jasper is a cloud-based Internet of Things (IoT) platform company that provides tools for managing and monetizing connected devices and services.
  • B. Jasper
    Jasper is a powerful and antagonistic Gem warrior in the animated series "Steven Universe," known for her brute strength, loyalty to Homeworld, and complex rivalry with the Crystal Gems.
  • C. Jasper
    Jasper is a surname of English origin borne by various individuals, including Margaret Jasper.
  • D. Jasper
    Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
  • E. Jasper
    Jasper is a masculine given name of Persian origin meaning "treasurer," historically associated with one of the Three Wise Men and used in various English-speaking countries.
  • 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: Jasper
Triple: [North Central Florida, hasMajorCity, Jasper]
Generated description
Jasper is a small city in Hamilton County, North Central Florida, known as a rural community and local government seat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jasper
Target entity description: Jasper is a small city in Hamilton County, North Central Florida, known as a rural community and local government seat.
  • A. Jasper
    Jasper is a small city located in Jasper County in the southwestern part of the U.S. state of Missouri.
  • B. Jasper
    Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
  • C. Jasper
    Jasper is a small city in southwestern Indiana known for its strong German heritage, manufacturing base, and role as a regional economic and cultural center.
  • D. Jasper
    Jasper is a small resort town in Alberta, Canada, serving as a gateway and service hub for visitors to the surrounding Rocky Mountains and Jasper National Park.
  • E. Jasper
    Jasper is a cloud-based Internet of Things (IoT) platform company that provides tools for managing and monetizing connected devices and services.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ca9f08190aa95560fea482dd4 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0027a095508190b7c6fd56af289e7b completed May 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_6a00282d9b0c81908031404c41b3baa5 completed May 10, 2026, 6:39 a.m.
Created at: April 10, 2026, 5:06 a.m.