Triple

T7848005
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Wisconsin E181969 entity
Predicate hasMajorCity P316 FINISHED
Object Elkhorn
Elkhorn is a small city in southeastern Wisconsin known as the county seat of Walworth County and for its regional fairs and community events.
 E698641 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: Elkhorn | Statement: [Southeastern Wisconsin, hasMajorCity, Elkhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elkhorn
Context triple: [Southeastern Wisconsin, hasMajorCity, Elkhorn]
  • A. Bosack
    Bosack is the surname of Leonard Bosack, the computer engineer best known as the co-founder of Cisco Systems.
  • B. Bogue
    Bogue is a locality in southern China near the Pearl River Delta that historically served as a strategic site for foreign trade and treaty negotiations during the 19th century.
  • C. Ouzinkie
    Ouzinkie is a small Alutiiq community and fishing village located on Spruce Island near Kodiak Island in Alaska.
  • D. Point McLeay
    Point McLeay is a locality in South Australia historically significant as a mission settlement and cultural center for the Ngarrindjeri people.
  • E. Shoreline
    Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
  • 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: Elkhorn
Triple: [Southeastern Wisconsin, hasMajorCity, Elkhorn]
Generated description
Elkhorn is a small city in southeastern Wisconsin known as the county seat of Walworth County and for its regional fairs and community events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elkhorn
Target entity description: Elkhorn is a small city in southeastern Wisconsin known as the county seat of Walworth County and for its regional fairs and community events.
  • A. Bosack
    Bosack is the surname of Leonard Bosack, the computer engineer best known as the co-founder of Cisco Systems.
  • B. Bogue
    Bogue is a locality in southern China near the Pearl River Delta that historically served as a strategic site for foreign trade and treaty negotiations during the 19th century.
  • C. Ouzinkie
    Ouzinkie is a small Alutiiq community and fishing village located on Spruce Island near Kodiak Island in Alaska.
  • D. Point McLeay
    Point McLeay is a locality in South Australia historically significant as a mission settlement and cultural center for the Ngarrindjeri people.
  • E. Shoreline
    Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
  • 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_69cb5afbb02481909008eb295c4825c1 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb5def38e88190864d84abd7959aa3 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb766e41fc8190a08f07d04774053a completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:49 p.m.