Triple

T14858472
Position Surface form Disambiguated ID Type / Status
Subject Belleville, Wisconsin E349422 entity
Predicate hasLake P1025 FINISHED
Object Lake Belle View
Lake Belle View is a small recreational lake in Belleville, Wisconsin, popular for fishing, boating, and community events.
E1507203 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: Lake Belle View | Statement: [Belleville, Wisconsin, hasLake, Lake Belle View]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Belle View
Context triple: [Belleville, Wisconsin, hasLake, Lake Belle View]
  • A. Lake Blaisdell
    Lake Blaisdell is a freshwater lake located within the Merrimack River watershed in New Hampshire.
  • B. Lake Panorama
    Lake Panorama is a large man-made recreational lake and residential community in central Iowa known for boating, fishing, and lakeside living.
  • C. Bell Lake
    Bell Lake is a scenic freshwater lake in Ontario, Canada, known as a popular canoeing and camping access point within Killarney Provincial Park.
  • D. Longview Lake
    Longview Lake is a large recreational reservoir in the Kansas City metropolitan area known for boating, fishing, and surrounding park facilities.
  • E. Fairview Lake
    Fairview Lake is a small recreational and residential lake located in the city of Fairview in Multnomah County, Oregon.
  • 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: Lake Belle View
Triple: [Belleville, Wisconsin, hasLake, Lake Belle View]
Generated description
Lake Belle View is a small recreational lake in Belleville, Wisconsin, popular for fishing, boating, and community events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lake Belle View
Target entity description: Lake Belle View is a small recreational lake in Belleville, Wisconsin, popular for fishing, boating, and community events.
  • A. Lake Blaisdell
    Lake Blaisdell is a freshwater lake located within the Merrimack River watershed in New Hampshire.
  • B. Lake Panorama
    Lake Panorama is a large man-made recreational lake and residential community in central Iowa known for boating, fishing, and lakeside living.
  • C. Bell Lake
    Bell Lake is a scenic freshwater lake in Ontario, Canada, known as a popular canoeing and camping access point within Killarney Provincial Park.
  • D. Longview Lake
    Longview Lake is a large recreational reservoir in the Kansas City metropolitan area known for boating, fishing, and surrounding park facilities.
  • E. Fairview Lake
    Fairview Lake is a small recreational and residential lake located in the city of Fairview in Multnomah County, Oregon.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a59ec05c081909af30673439872ce completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5b0d434481909d2d011c2449bf69 completed May 18, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5ba4fb5c8190994938f704603690 completed May 18, 2026, 12:21 a.m.
Created at: April 10, 2026, 1:54 a.m.