Triple

T9079523
Position Surface form Disambiguated ID Type / Status
Subject Jasper, Missouri E217578 entity
Predicate hasName P744 FINISHED
Object Jasper
Jasper is a small city located in Jasper County in the southwestern part of the U.S. state of Missouri.
E776289 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: [Jasper, Missouri, hasName, Jasper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper
Context triple: [Jasper, Missouri, hasName, 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 one of Cruella de Vil’s bumbling henchmen who helps steal Dalmatian puppies in Disney’s "One Hundred and One Dalmatians."
  • 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: [Jasper, Missouri, hasName, Jasper]
Generated description
Jasper is a small city located in Jasper County in the southwestern part of the U.S. state of Missouri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jasper
Target entity description: Jasper is a small city located in Jasper County in the southwestern part of the U.S. state of Missouri.
  • A. Jasper
    Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
  • B. 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.
  • C. 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.
  • D. Jasper
    Jasper is a cloud-based Internet of Things (IoT) platform company that provides tools for managing and monetizing connected devices and services.
  • E. Jasper
    Jasper is a surname of English origin borne by various individuals, including Margaret Jasper.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d000d4a4548190939a9a9946be469b completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001b245f08190a8e5c53c570b20a0 completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:12 p.m.