Triple

T7847995
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Wisconsin E181969 entity
Predicate hasMajorCity P316 FINISHED
Object Burlington
Burlington is a small city in southeastern Wisconsin known for its historic downtown, chocolate festival, and role as a local commercial and community hub.
 E701671 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: Burlington | Statement: [Southeastern Wisconsin, hasMajorCity, Burlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burlington
Context triple: [Southeastern Wisconsin, hasMajorCity, Burlington]
  • A. Burlington
    Burlington is a suburban town in Massachusetts known for its proximity to Boston and its mix of residential neighborhoods, office parks, and retail centers.
  • B. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • C. Burlington
    Burlington is a city in North Carolina known historically as a railroad and textile manufacturing hub in the Piedmont region of the state.
  • D. Burlington
    Burlington is a small city in northwestern Washington State known as a commercial hub for the surrounding Skagit Valley region.
  • E. Burlington
    Burlington is a small, primarily residential town in central Connecticut known for its rural character and access to outdoor recreation areas.
  • 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: Burlington
Triple: [Southeastern Wisconsin, hasMajorCity, Burlington]
Generated description
Burlington is a small city in southeastern Wisconsin known for its historic downtown, chocolate festival, and role as a local commercial and community hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burlington
Target entity description: Burlington is a small city in southeastern Wisconsin known for its historic downtown, chocolate festival, and role as a local commercial and community hub.
  • A. Burlington
    Burlington is a small city in northwestern Washington State known as a commercial hub for the surrounding Skagit Valley region.
  • B. Burlington
    Burlington is a small, primarily residential town in central Connecticut known for its rural character and access to outdoor recreation areas.
  • C. Burlington
    Burlington is a small town that serves as a local community and commercial center along 3rd Avenue.
  • D. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • E. Burlington
    Burlington is a city in northwestern Vermont on the shores of Lake Champlain, known as the state’s largest city and a regional cultural and economic center.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf1834b08190ab9fd79387e496a7 completed March 31, 2026, 2:50 p.m.
NEDg Description generation batch_69cbe309518481909b0857271cb27ab0 completed March 31, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69cc05e055588190a5680c4416631c32 completed March 31, 2026, 5:35 p.m.
Created at: March 30, 2026, 4:49 p.m.